Published on in Vol 3, No 2 (2016): Apr-Jun

New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research

Journals

  1. Jacobson N, Bentley K, Walton A, Wang S, Fortgang R, Millner A, Coombs G, Rodman A, Coppersmith D. Ethical dilemmas posed by mobile health and machine learning in psychiatry research. Bulletin of the World Health Organization 2020;98(4):270 View
  2. Wisniewski H, Henson P, Torous J. Using a Smartphone App to Identify Clinically Relevant Behavior Trends via Symptom Report, Cognition Scores, and Exercise Levels: A Case Series. Frontiers in Psychiatry 2019;10 View
  3. Firth J, Stubbs B, Vancampfort D, Schuch F, Rosenbaum S, Ward P, Firth J, Sarris J, Yung A. The Validity and Value of Self-reported Physical Activity and Accelerometry in People With Schizophrenia: A Population-Scale Study of the UK Biobank. Schizophrenia Bulletin 2018;44(6):1293 View
  4. Torous J, Woodyatt J, Keshavan M, Tully L. A new hope for early psychosis care: the evolving landscape of digital care tools. The British Journal of Psychiatry 2019;214(5):269 View
  5. Sezgin E, Noritz G, Elek A, Conkol K, Rust S, Bailey M, Strouse R, Chandawarkar A, von Sadovszky V, Lin S, Huang Y. Capturing At-Home Health and Care Information for Children With Medical Complexity Using Voice Interactive Technologies: Multi-Stakeholder Viewpoint. Journal of Medical Internet Research 2020;22(2):e14202 View
  6. Spinazze P, Rykov Y, Bottle A, Car J. Digital phenotyping for assessment and prediction of mental health outcomes: a scoping review protocol. BMJ Open 2019;9(12):e032255 View
  7. Bassett D, Khambhati A, Grafton S. Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity. Annual Review of Biomedical Engineering 2017;19(1):327 View
  8. Lind M, Byrne M, Wicks G, Smidt A, Allen N. The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing. JMIR Mental Health 2018;5(3):e10334 View
  9. Jacobson N, Weingarden H, Wilhelm S. Using Digital Phenotyping to Accurately Detect Depression Severity. Journal of Nervous & Mental Disease 2019;207(10):893 View
  10. Roberts L, Chan S, Torous J. New tests, new tools: mobile and connected technologies in advancing psychiatric diagnosis. npj Digital Medicine 2018;1(1) View
  11. Place S, Blanch-Hartigan D, Rubin C, Gorrostieta C, Mead C, Kane J, Marx B, Feast J, Deckersbach T, Pentland A, Nierenberg A, Azarbayejani A. Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders. Journal of Medical Internet Research 2017;19(3):e75 View
  12. Fisher C, Appelbaum P. Beyond Googling: The Ethics of Using Patients' Electronic Footprints in Psychiatric Practice. Harvard Review of Psychiatry 2017;25(4):170 View
  13. Panda N, Solsky I, Haynes A. Redefining shared decision-making in the digital era. European Journal of Surgical Oncology 2019;45(12):2287 View
  14. Panda N, Solsky I, Huang E, Lipsitz S, Pradarelli J, Delisle M, Cusack J, Gadd M, Lubitz C, Mullen J, Qadan M, Smith B, Specht M, Stephen A, Tanabe K, Gawande A, Onnela J, Haynes A. Using Smartphones to Capture Novel Recovery Metrics After Cancer Surgery. JAMA Surgery 2020;155(2):123 View
  15. Sequeira L, Battaglia M, Perrotta S, Merikangas K, Strauss J. Digital Phenotyping With Mobile and Wearable Devices: Advanced Symptom Measurement in Child and Adolescent Depression. Journal of the American Academy of Child & Adolescent Psychiatry 2019;58(9):841 View
  16. Berrouiguet S, Barrigón M, Castroman J, Courtet P, Artés-Rodríguez A, Baca-García E. Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol. BMC Psychiatry 2019;19(1) View
  17. Radhakrishnan K, Kim M, Burgermaster M, Brown R, Xie B, Bray M, Fournier C. The potential of digital phenotyping to advance the contributions of mobile health to self-management science. Nursing Outlook 2020;68(5):548 View
  18. Meyer N, Kerz M, Folarin A, Joyce D, Jackson R, Karr C, Dobson R, MacCabe J. Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform. JMIR mHealth and uHealth 2018;6(10):e188 View
  19. Kaufmann C, Gershon A, Depp C, Miller S, Zeitzer J, Ketter T. Daytime midpoint as a digital biomarker for chronotype in bipolar disorder. Journal of Affective Disorders 2018;241:586 View
  20. . Digital Sensory Phenotyping for Psychiatric Disorders. Journal of Psychiatry and Brain Science 2020 View
  21. Fagherazzi G. Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper. Journal of Medical Internet Research 2020;22(3):e16770 View
  22. Huang E, Onnela J. Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. Sensors 2020;20(13):3706 View
  23. H. Birk R, Samuel G. Can digital data diagnose mental health problems? A sociological exploration of ‘digital phenotyping’. Sociology of Health & Illness 2020;42(8):1873 View
  24. Mohr D, Zhang M, Schueller S. Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. Annual Review of Clinical Psychology 2017;13(1):23 View
  25. Aledavood T, Triana Hoyos A, Alakörkkö T, Kaski K, Saramäki J, Isometsä E, Darst R. Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype. JMIR Research Protocols 2017;6(6):e110 View
  26. Barnett I, Torous J, Staples P, Keshavan M, Onnela J. Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data. Journal of the American Medical Informatics Association 2018;25(12):1669 View
  27. Panda N, Haynes A. Prioritizing the Patient Perspective in Oncologic Surgery. Annals of Surgical Oncology 2020;27(1):43 View
  28. Sano A, Taylor S, McHill A, Phillips A, Barger L, Klerman E, Picard R. Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study. Journal of Medical Internet Research 2018;20(6):e210 View
  29. Huckvale K, Venkatesh S, Christensen H. Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety. npj Digital Medicine 2019;2(1) View
  30. Chong N, Chu Shan Elaine C, de Korne D. Creating a Learning Televillage and Automated Digital Child Health Ecosystem. Pediatric Clinics of North America 2020;67(4):707 View
  31. Carvalho L, Sette C, Ferrari B. Problematic smartphone use relationship with pathological personality traits: Systematic review and meta-analysis. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2018;12(3) View
  32. Barnett I, Onnela J. Inferring mobility measures from GPS traces with missing data. Biostatistics 2020;21(2):e98 View
  33. Severus E, Ebner-Priemer U, Beier F, Mühlbauer E, Ritter P, Hill H, Bauer M. Ambulantes Monitoring und digitale Phänotypisierung in Diagnostik und Therapie bipolarer Erkrankungen. Der Nervenarzt 2019;90(12):1215 View
  34. Torous J, Summergrad P, Nassir Ghaemi S. Bipolar disorder in the digital age: new tools for the same illness. International Journal of Bipolar Disorders 2016;4(1) View
  35. Lin Y, Chen S, Lin P, Tai A, Pan Y, Hsieh C, Lin S. Assessing User Retention of a Mobile App: Survival Analysis. JMIR mHealth and uHealth 2020;8(11):e16309 View
  36. de Francisco Carvalho L, Sette C, Bacciotti J, Pianowski G, Marino C. Narcissistic and Histrionic Pathological Traits Association with Passive Data from Facebook Profile. Journal of Technology in Behavioral Science 2019;4(3):274 View
  37. Liu G, Henson P, Keshavan M, Pekka-Onnela J, Torous J. Assessing the potential of longitudinal smartphone based cognitive assessment in schizophrenia: A naturalistic pilot study. Schizophrenia Research: Cognition 2019;17:100144 View
  38. Barrigon M, Courtet P, Oquendo M, Baca-García E. Precision Medicine and Suicide: an Opportunity for Digital Health. Current Psychiatry Reports 2019;21(12) View
  39. Shaw R, Yang Q, Barnes A, Hatch D, Crowley M, Vorderstrasse A, Vaughn J, Diane A, Lewinski A, Jiang M, Stevenson J, Steinberg D. Self-monitoring diabetes with multiple mobile health devices. Journal of the American Medical Informatics Association 2020;27(5):667 View
  40. Melamed A, Wright A. Patient Reported Outcomes: Recent Successes and Future Opportunities. Gynecologic Oncology 2018;148(1):1 View
  41. Green M, Horan W, Lee J. Nonsocial and social cognition in schizophrenia: current evidence and future directions. World Psychiatry 2019;18(2):146 View
  42. Firth J, Torous J, Carney R, Newby J, Cosco T, Christensen H, Sarris J. Digital Technologies in the Treatment of Anxiety: Recent Innovations and Future Directions. Current Psychiatry Reports 2018;20(6) View
  43. Weizenbaum E, Torous J, Fulford D. Cognition in Context: Understanding the Everyday Predictors of Cognitive Performance in a New Era of Measurement. JMIR mHealth and uHealth 2020;8(7):e14328 View
  44. Bassett D, Mattar M. A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior. Trends in Cognitive Sciences 2017;21(4):250 View
  45. Bhidayasiri R, Mari Z. Digital phenotyping in Parkinson's disease: Empowering neurologists for measurement-based care. Parkinsonism & Related Disorders 2020;80:35 View
  46. Nugent N, Pendse S, Schatten H, Armey M. Innovations in Technology and Mechanisms of Change in Behavioral Interventions. Behavior Modification 2023;47(6):1292 View
  47. Panda N, Solsky I, Hawrusik B, Liu G, Reeder H, Lipsitz S, Desai E, Lowery K, Miller K, Gadd M, Lubitz C, Smith B, Specht M, Onnela J, Haynes A. Smartphone Global Positioning System (GPS) Data Enhances Recovery Assessment After Breast Cancer Surgery. Annals of Surgical Oncology 2021;28(2):985 View
  48. Piau A, Rumeau P, Nourhashemi F, Martin M. Information and Communication Technologies, a Promising Way to Support Pharmacotherapy for the Behavioral and Psychological Symptoms of Dementia. Frontiers in Pharmacology 2019;10 View
  49. Liang Y, Zheng X, Zeng D. A survey on big data-driven digital phenotyping of mental health. Information Fusion 2019;52:290 View
  50. Gaskins A, Hart J. The use of personal and indoor air pollution monitors in reproductive epidemiology studies. Paediatric and Perinatal Epidemiology 2020;34(5):513 View
  51. Engelhard M, Oliver J, McClernon F. Digital envirotyping: quantifying environmental determinants of health and behavior. npj Digital Medicine 2020;3(1) View
  52. Snyder J, Poisson L, Noushmehr H, Castro A, deCarvalho A, Robin A, Mukherjee A, Lee I, Walbert T. Clinical and Research Applications of a Brain Tumor Tissue Bank in the Age of Precision Medicine. Personalized Medicine 2019;16(2):145 View
  53. DiRisio A, Harary M, van Westrhenen A, Nassr E, Ermakova A, Smith T, Dirven L, Taphoorn M, Mekary R, Broekman M. Quality of reporting and assessment of patient-reported health-related quality of life in patients with brain metastases: a systematic review. Neuro-Oncology Practice 2018;5(4):214 View
  54. Kenny R, Dooley B, Fitzgerald A. Ecological Momentary Assessment of Adolescent Problems, Coping Efficacy, and Mood States Using a Mobile Phone App: An Exploratory Study. JMIR Mental Health 2016;3(4):e51 View
  55. Eddens K, Fagan J, Collins T. An Interactive, Mobile-Based Tool for Personal Social Network Data Collection and Visualization Among a Geographically Isolated and Socioeconomically Disadvantaged Population: Early-Stage Feasibility Study With Qualitative User Feedback. JMIR Research Protocols 2017;6(6):e124 View
  56. Frangou S. Commentary on: Objective smartphone data as a potential diagnostic marker of bipolar disorder. Australian & New Zealand Journal of Psychiatry 2019;53(2):170 View
  57. Fraccaro P, Beukenhorst A, Sperrin M, Harper S, Palmier-Claus J, Lewis S, Van der Veer S, Peek N. Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review. Journal of the American Medical Informatics Association 2019;26(11):1412 View
  58. Bentley K, Kleiman E, Elliott G, Huffman J, Nock M. Real-time monitoring technology in single-case experimental design research: Opportunities and challenges. Behaviour Research and Therapy 2019;117:87 View
  59. Glenn J, Nobles A, Barnes L, Teachman B. Can Text Messages Identify Suicide Risk in Real Time? A Within-Subjects Pilot Examination of Temporally Sensitive Markers of Suicide Risk. Clinical Psychological Science 2020;8(4):704 View
  60. Marsch L. Digital health data-driven approaches to understand human behavior. Neuropsychopharmacology 2021;46(1):191 View
  61. Onnela J. Opportunities and challenges in the collection and analysis of digital phenotyping data. Neuropsychopharmacology 2021;46(1):45 View
  62. Torous J, Gershon A, Hays R, Onnela J, Baker J. Digital Phenotyping for the Busy Psychiatrist: Clinical Implications and Relevance. Psychiatric Annals 2019;49(5):196 View
  63. Kleinstäuber M, Gottschalk J, Ruckmann J, Probst T, Rief W. Acceptance and Cognitive Reappraisal as Regulation Strategies for Symptom Annoyance in Individuals with Medically Unexplained Physical Symptoms. Cognitive Therapy and Research 2019;43(3):570 View
  64. Arevian A, O'Hora J, Rosser J, Mango J, Miklowitz D, Wells K. Patient and Provider Cocreation of Mobile Texting Apps to Support Behavioral Health: Usability Study. JMIR mHealth and uHealth 2020;8(7):e12655 View
  65. Benoit J, Onyeaka H, Keshavan M, Torous J. Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses. Harvard Review of Psychiatry 2020;28(5):296 View
  66. Huys Q, Renz D. A Formal Valuation Framework for Emotions and Their Control. Biological Psychiatry 2017;82(6):413 View
  67. Dissing A, Lakon C, Gerds T, Rod N, Lund R, Podobnik B. Measuring social integration and tie strength with smartphone and survey data. PLOS ONE 2018;13(8):e0200678 View
  68. Støme L, Moger T, Kidholm K, Kværner K. A Web-Based Communication Platform to Improve Home Care Services in Norway (DigiHelse): Pilot Study. JMIR Formative Research 2020;4(1):e14780 View
  69. Yang Q, Hatch D, Crowley M, Lewinski A, Vaughn J, Steinberg D, Vorderstrasse A, Jiang M, Shaw R. Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis. JMIR mHealth and uHealth 2020;8(6):e17730 View
  70. Maymone M, Venkatesh S, Secemsky E, Reddy K, Vashi N. Research Techniques Made Simple: Web-Based Survey Research in Dermatology: Conduct and Applications. Journal of Investigative Dermatology 2018;138(7):1456 View
  71. Mohr D, Shilton K, Hotopf M. Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age. npj Digital Medicine 2020;3(1) View
  72. Langford A, Orellana K, Kalinowski J, Aird C, Buderer N. Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(8):e19531 View
  73. Torous J, Staples P, Barnett I, Sandoval L, Keshavan M, Onnela J. Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia. npj Digital Medicine 2018;1(1) View
  74. Nebeker C, Leow A, Moore R. From Return of Information to Return of Value: Ethical Considerations when Sharing Individual-Level Research Data. Journal of Alzheimer's Disease 2019;71(4):1081 View
  75. Pratap A, Atkins D, Renn B, Tanana M, Mooney S, Anguera J, Areán P. The accuracy of passive phone sensors in predicting daily mood. Depression and Anxiety 2019;36(1):72 View
  76. Hennemann S, Farnsteiner S, Sander L. Internet- and mobile-based aftercare and relapse prevention in mental disorders: A systematic review and recommendations for future research. Internet Interventions 2018;14:1 View
  77. Torous J, Firth J, Mueller N, Onnela J, Baker J. Methodology and Reporting of Mobile Health and Smartphone Application Studies for Schizophrenia. Harvard Review of Psychiatry 2017;25(3):146 View
  78. Snyder J, Pawloski J, Poisson L. Developing Real-world Evidence-Ready Datasets: Time for Clinician Engagement. Current Oncology Reports 2020;22(5) View
  79. Rizzo C, Collibee C, Nugent N, Armey M. Let's Get Digital: Understanding Adolescent Romantic Relationships Using Naturalistic Assessments of Digital Communication. Child Development Perspectives 2019;13(2):104 View
  80. Biagianti B, Hidalgo-Mazzei D, Meyer N. Developing digital interventions for people living with serious mental illness: perspectives from three mHealth studies. Evidence Based Mental Health 2017;20(4):98 View
  81. Bourla A, Ferreri F, Ogorzelec L, Guinchard C, Mouchabac S. Évaluation des troubles thymiques par l’étude des données passives : le concept de phénotype digital à l’épreuve de la culture de métier de psychiatre. L'Encéphale 2018;44(2):168 View
  82. Meers K, Dejonckheere E, Kalokerinos E, Rummens K, Kuppens P. mobileQ: A free user-friendly application for collecting experience sampling data. Behavior Research Methods 2020;52(4):1510 View
  83. Bond R, Moorhead A, Mulvenna M, O'Neill S, Potts C, Murphy N. Exploring temporal behaviour of app users completing ecological momentary assessments using mental health scales and mood logs. Behaviour & Information Technology 2019;38(10):1016 View
  84. Rieger A, Gaines A, Barnett I, Baldassano C, Connolly Gibbons M, Crits-Christoph P. Psychiatry Outpatients’ Willingness to Share Social Media Posts and Smartphone Data for Research and Clinical Purposes: Survey Study. JMIR Formative Research 2019;3(3):e14329 View
  85. Torous J, Onnela J, Keshavan M. New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices. Translational Psychiatry 2017;7(3):e1053 View
  86. Braga R, Buckner R. Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity. Neuron 2017;95(2):457 View
  87. Bell I, Alvarez-Jimenez M. Digital Technology to Enhance Clinical Care of Early Psychosis. Current Treatment Options in Psychiatry 2019;6(3):256 View
  88. Reinertsen E, Clifford G. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiological Measurement 2018;39(5):05TR01 View
  89. Campbell L, Paolillo E, Heaton A, Tang B, Depp C, Granholm E, Heaton R, Swendsen J, Moore D, Moore R. Daily Activities Related to Mobile Cognitive Performance in Middle-Aged and Older Adults: An Ecological Momentary Cognitive Assessment Study. JMIR mHealth and uHealth 2020;8(9):e19579 View
  90. Predmore Z, Hatef E, Weiner J. Integrating Social and Behavioral Determinants of Health into Population Health Analytics: A Conceptual Framework and Suggested Road Map. Population Health Management 2019;22(6):488 View
  91. Torous J, Wisniewski H, Bird B, Carpenter E, David G, Elejalde E, Fulford D, Guimond S, Hays R, Henson P, Hoffman L, Lim C, Menon M, Noel V, Pearson J, Peterson R, Susheela A, Troy H, Vaidyam A, Weizenbaum E, Naslund J, Keshavan M. Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach. Journal of Technology in Behavioral Science 2019;4(2):73 View
  92. Torous J, Staples P, Barnett I, Onnela J, Keshavan M. A crossroad for validating digital tools in schizophrenia and mental health. npj Schizophrenia 2018;4(1) View
  93. Maramis C, Moulos I, Ioakimidis I, Papapanagiotou V, Langlet B, Lekka I, Bergh C, Maglaveras N. A smartphone application for semi-controlled collection of objective eating behavior data from multiple subjects. Computer Methods and Programs in Biomedicine 2020;194:105485 View
  94. Berry J, Paganoni S, Carlson K, Burke K, Weber H, Staples P, Salinas J, Chan J, Green J, Connaghan K, Barback J, Onnela J. Design and results of a smartphone‐based digital phenotyping study to quantify ALS progression. Annals of Clinical and Translational Neurology 2019;6(5):873 View
  95. Wilson J, Altman R. Biomarkers: Delivering on the expectation of molecularly driven, quantitative health. Experimental Biology and Medicine 2018;243(3):313 View
  96. Barnett S, Huckvale K, Christensen H, Venkatesh S, Mouzakis K, Vasa R. Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications. Journal of Medical Internet Research 2019;21(11):e16399 View
  97. Boonstra T, Nicholas J, Wong Q, Shaw F, Townsend S, Christensen H. Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions. Journal of Medical Internet Research 2018;20(7):e10131 View
  98. Panda N, Solsky I, Onnela J, Haynes A. ASO Author Reflections: Applications of Smartphone-Based Digital Phenotyping in Supplementing Recovery Assessment After Cancer Surgery. Annals of Surgical Oncology 2020;27(S3):909 View
  99. Barnett I, Torous J, Staples P, Sandoval L, Keshavan M, Onnela J. Relapse prediction in schizophrenia through digital phenotyping: a pilot study. Neuropsychopharmacology 2018;43(8):1660 View
  100. Onnela J, Rauch S. Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health. Neuropsychopharmacology 2016;41(7):1691 View
  101. Bhattacharya K, Kaski K. Social physics: uncovering human behaviour from communication. Advances in Physics: X 2019;4(1):1527723 View
  102. Cote D, Barnett I, Onnela J, Smith T. Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life. World Neurosurgery 2019;126:e241 View
  103. Berrouiguet S, Ramírez D, Barrigón M, Moreno-Muñoz P, Carmona Camacho R, Baca-García E, Artés-Rodríguez A. Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study. JMIR mHealth and uHealth 2018;6(12):e197 View
  104. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;1(1):87 View
  105. Wright A, Raman N, Staples P, Schonholz S, Cronin A, Carlson K, Keating N, Onnela J. The HOPE Pilot Study: Harnessing Patient-Reported Outcomes and Biometric Data to Enhance Cancer Care. JCO Clinical Cancer Informatics 2018;(2):1 View
  106. Gruber W, Powell A, Torous J. The power of capturing and using information at the point of care. Healthcare 2017;5(3):86 View
  107. Lee J, Kim H, Kim D. Recent Technology-Driven Advancements in Cardiovascular Disease Prevention in Korea. Cardiovascular Prevention and Pharmacotherapy 2019;1(2):43 View
  108. Tekin Ş. Is Big Data the New Stethoscope? Perils of Digital Phenotyping to Address Mental Illness. Philosophy & Technology 2021;34(3):447 View
  109. . Theme 10 Disease stratification and phenotyping. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2018;19(sup1):282 View
  110. Melcher J, Hays R, Torous J. Digital phenotyping for mental health of college students: a clinical review. Evidence Based Mental Health 2020;23(4):161 View
  111. de Moura I, Teles A, Endler M, Coutinho L, da Silva e Silva F. Recognizing Context-Aware Human Sociability Patterns Using Pervasive Monitoring for Supporting Mental Health Professionals. Sensors 2020;21(1):86 View
  112. Davidson B. The crossroads of digital phenotyping. General Hospital Psychiatry 2022;74:126 View
  113. Rodriguez-Villa E, Mehta U, Naslund J, Tugnawat D, Gupta S, Thirtalli J, Bhan A, Patel V, Chand P, Rozatkar A, Keshavan M, Torous J. Smartphone Health Assessment for Relapse Prevention (SHARP): a digital solution toward global mental health. BJPsych Open 2021;7(1) View
  114. Gauld C, Dumas G, Fakra É, Mattout J, Micoulaud-Franchi J. Les trois cultures de la psychiatrie computationnelle. Annales Médico-psychologiques, revue psychiatrique 2021;179(1):63 View
  115. Barnett I, Torous J, Reeder H, Baker J, Onnela J. Determining sample size and length of follow-up for smartphone-based digital phenotyping studies. Journal of the American Medical Informatics Association 2020;27(12):1844 View
  116. Orsolini L, Fiorani M, Volpe U. Digital Phenotyping in Bipolar Disorder: Which Integration with Clinical Endophenotypes and Biomarkers?. International Journal of Molecular Sciences 2020;21(20):7684 View
  117. Jagesar R, Roozen M, van der Heijden I, Ikani N, Tyborowska A, Penninx B, Ruhe H, Sommer I, Kas M, Vorstman J. Digital phenotyping and the COVID-19 pandemic: Capturing behavioral change in patients with psychiatric disorders. European Neuropsychopharmacology 2021;42:115 View
  118. Pavarini G, McMillan R, Robinson A, Singh I. Design Bioethics: A Theoretical Framework and Argument for Innovation in Bioethics Research. The American Journal of Bioethics 2021;21(6):37 View
  119. Henson P, Peck P, Torous J. Considering the Therapeutic Alliance in Digital Mental Health Interventions. Harvard Review of Psychiatry 2019;27(4):268 View
  120. Bukowski R, Schulz K, Gaither K, Stephens K, Semeraro D, Drake J, Smith G, Cordola C, Zariphopoulou T, Hughes T, Zarins C, Kusnezov D, Howard D, Oden T. Computational medicine, present and the future: obstetrics and gynecology perspective. American Journal of Obstetrics and Gynecology 2021;224(1):16 View
  121. Pedrelli P, Fedor S, Ghandeharioun A, Howe E, Ionescu D, Bhathena D, Fisher L, Cusin C, Nyer M, Yeung A, Sangermano L, Mischoulon D, Alpert J, Picard R. Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors. Frontiers in Psychiatry 2020;11 View
  122. Moshe I, Terhorst Y, Opoku Asare K, Sander L, Ferreira D, Baumeister H, Mohr D, Pulkki-Råback L. Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data. Frontiers in Psychiatry 2021;12 View
  123. Mendes-Santos C, Andersson G, Weiderpass E, Santana R. Mitigating COVID-19 Impact on the Portuguese Population Mental Health: The Opportunity That Lies in Digital Mental Health. Frontiers in Public Health 2020;8 View
  124. Jagesar R, Vorstman J, Kas M. Requirements and Operational Guidelines for Secure and Sustainable Digital Phenotyping: Design and Development Study. Journal of Medical Internet Research 2021;23(4):e20996 View
  125. Van Daele T, Best P, Bernaerts S, Van Assche E, De Witte N. Dropping the E: The potential for integrating e-mental health in psychotherapy. Current Opinion in Psychology 2021;41:46 View
  126. Camacho E, Brady R, Lizano P, Keshavan M, Torous J. Advancing translational research through the interface of digital phenotyping and neuroimaging: A narrative review. Biomarkers in Neuropsychiatry 2021;4:100032 View
  127. Melcher J, Lavoie J, Hays R, D'Mello R, Rauseo-Ricupero N, Camacho E, Rodriguez-Villa E, Wisniewski H, Lagan S, Vaidyam A, Torous J. Digital phenotyping of student mental health during COVID-19: an observational study of 100 college students. Journal of American College Health 2023;71(3):736 View
  128. Henson P, Rodriguez-Villa E, Torous J. Investigating Associations Between Screen Time and Symptomatology in Individuals With Serious Mental Illness: Longitudinal Observational Study. Journal of Medical Internet Research 2021;23(3):e23144 View
  129. Wang X, Vouk N, Heaukulani C, Buddhika T, Martanto W, Lee J, Morris R. HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning. Journal of Medical Internet Research 2021;23(3):e23984 View
  130. Klein A, Clucas J, Krishnakumar A, Ghosh S, Van Auken W, Thonet B, Sabram I, Acuna N, Keshavan A, Rossiter H, Xiao Y, Semenuta S, Badioli A, Konishcheva K, Abraham S, Alexander L, Merikangas K, Swendsen J, Lindner A, Milham M. Remote Digital Psychiatry for Mobile Mental Health Assessment and Therapy: MindLogger Platform Development Study. Journal of Medical Internet Research 2021;23(11):e22369 View
  131. Perez-Pozuelo I, Spathis D, Gifford-Moore J, Morley J, Cowls J. Digital phenotyping and sensitive health data: Implications for data governance. Journal of the American Medical Informatics Association 2021;28(9):2002 View
  132. McGowan N, Saunders K. The Emerging Circadian Phenotype of Borderline Personality Disorder: Mechanisms, Opportunities and Future Directions. Current Psychiatry Reports 2021;23(5) View
  133. Dawoodbhoy F, Delaney J, Cecula P, Yu J, Peacock I, Tan J, Cox B. AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units. Heliyon 2021;7(5):e06993 View
  134. Opoku Asare K, Terhorst Y, Vega J, Peltonen E, Lagerspetz E, Ferreira D. Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study. JMIR mHealth and uHealth 2021;9(7):e26540 View
  135. Ibrahim A, Zhang H, Clinch S, Poliakoff E, Parsia B, Harper S. Digital Phenotypes for Understanding Individuals' Compliance With COVID-19 Policies and Personalized Nudges: Longitudinal Observational Study. JMIR Formative Research 2021;5(5):e23461 View
  136. Koch E, Moukhtarian T, Skirrow C, Bozhilova N, Asherson P, Ebner-Priemer U. Using e-diaries to investigate ADHD – State-of-the-art and the promising feature of just-in-time-adaptive interventions. Neuroscience & Biobehavioral Reviews 2021;127:884 View
  137. Kirkpatrick B, Cohen A, Bitter I, Strauss G. Primary Negative Symptoms: Refining the Research Target. Schizophrenia Bulletin 2021;47(5):1207 View
  138. Lee J, Turchioe M, Creber R, Biviano A, Hickey K, Bakken S. Phenotypes of engagement with mobile health technology for heart rhythm monitoring. JAMIA Open 2021;4(2) View
  139. Nelson B, Flannery J, Flournoy J, Duell N, Prinstein M, Telzer E. Concurrent and prospective associations between fitbit wearable‐derived RDoC arousal and regulatory constructs and adolescent internalizing symptoms. Journal of Child Psychology and Psychiatry 2022;63(3):282 View
  140. Blom J, Colliva C, Benatti C, Tascedda F, Pani L. Digital Phenotyping and Dynamic Monitoring of Adolescents Treated for Cancer to Guide Intervention: Embracing a New Era. Frontiers in Oncology 2021;11 View
  141. Yin K, Jung J, Coiera E, Ho K, Vagholkar S, Blandford A, Rapport F, Lau A. How Patient Work Changes Over Time for People With Multimorbid Type 2 Diabetes: Qualitative Study. Journal of Medical Internet Research 2021;23(7):e25992 View
  142. Taliaz D, Souery D. A New Characterization of Mental Health Disorders Using Digital Behavioral Data: Evidence from Major Depressive Disorder. Journal of Clinical Medicine 2021;10(14):3109 View
  143. van den Berg L, Brouwer P, Panda N, Hoogbergen M, Solsky I, Onnela J, Haynes A, Sidey-Gibbons C. Feasibility and performance of smartphone-based daily micro-surveys among patients recovering from cancer surgery. Quality of Life Research 2022;31(2):579 View
  144. MacLeod L, Suruliraj B, Gall D, Bessenyei K, Hamm S, Romkey I, Bagnell A, Mattheisen M, Muthukumaraswamy V, Orji R, Meier S. A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study. JMIR mHealth and uHealth 2021;9(10):e20638 View
  145. Rahimi-Eichi H, Coombs III G, Vidal Bustamante C, Onnela J, Baker J, Buckner R. Open-source Longitudinal Sleep Analysis From Accelerometer Data (DPSleep): Algorithm Development and Validation. JMIR mHealth and uHealth 2021;9(10):e29849 View
  146. Kiang M, Chen J, Krieger N, Buckee C, Alexander M, Baker J, Buckner R, Coombs G, Rich-Edwards J, Carlson K, Onnela J. Sociodemographic characteristics of missing data in digital phenotyping. Scientific Reports 2021;11(1) View
  147. Laestadius L, Craig K, Campos-Castillo C. Perceptions of Alerts Issued by Social Media Platforms in Response to Self-injury Posts Among Latinx Adolescents: Qualitative Analysis. Journal of Medical Internet Research 2021;23(8):e28931 View
  148. Moura I, Teles A, Coutinho L, Silva F. Towards identifying context-enriched multimodal behavioral patterns for digital phenotyping of human behaviors. Future Generation Computer Systems 2022;131:227 View
  149. Stern E, MICOULAUD FRANCHI J, Dumas G, Moreira J, Mouchabac S, Maruani J, Philip P, Lejoyeux M, GEOFFROY P. How Can Digital Mental Health Enhance Psychiatry?. The Neuroscientist 2023;29(6):681 View
  150. Fahed M, McManus K, Vahia I, Offodile A. Digital Phenotyping of Behavioral Symptoms as the Next Frontier for Personalized and Proactive Cancer Care. JCO Clinical Cancer Informatics 2022;(6) View
  151. Niemeijer K, Mestdagh M, Verdonck S, Meers K, Kuppens P. Combining Experience Sampling and Mobile Sensing for Digital Phenotyping With m-Path Sense: Performance Study. JMIR Formative Research 2023;7:e43296 View
  152. Bell I, Nicholas J, Alvarez-Jimenez M, Thompson A, Valmaggia L. Virtual reality as a clinical tool in mental health research and practice. Dialogues in Clinical Neuroscience 2020;22(2):169 View
  153. Hackett K, Giovannetti T. Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools. JMIR Aging 2022;5(3):e38130 View
  154. Khedraki R, Srivastava A, Bhavnani S. Framework for Digital Health Phenotypes in Heart Failure. Heart Failure Clinics 2022;18(2):223 View
  155. Abdul Rashid N, Martanto W, Yang Z, Wang X, Heaukulani C, Vouk N, Buddhika T, Wei Y, Verma S, Tang C, Morris R, Lee J. Evaluating the utility of digital phenotyping to predict health outcomes in schizophrenia: protocol for the HOPE-S observational study. BMJ Open 2021;11(10):e046552 View
  156. Kishimoto T. Will digital technology address the challenges of drug development in psychiatry?. World Psychiatry 2023;22(1):79 View
  157. INOMATA T, SUNG J, NAKAMURA M, IWAGAMI M, OKUMURA Y, FUJIO K, AKASAKI Y, FUJIMOTO K, YANAGAWA A, MIDORIKAWA-INOMATA A, NAGINO K, EGUCHI A, SHOKIROVA H, ZHU J, MIURA M, KUWAHARA M, HIROSAWA K, HUANG T, MOROOKA Y, MURAKAMI A. Cross-hierarchical Integrative Research Network for Heterogenetic Eye Disease Toward P4 Medicine: A Narrative Review. Juntendo Medical Journal 2021;67(6):519 View
  158. De Boer C, Ghomrawi H, Zeineddin S, Linton S, Kwon S, Abdullah F. A Call to Expand the Scope of Digital Phenotyping. Journal of Medical Internet Research 2023;25:e39546 View
  159. Chen Z, Kulkarni P, Galatzer-Levy I, Bigio B, Nasca C, Zhang Y. Modern views of machine learning for precision psychiatry. Patterns 2022;3(11):100602 View
  160. Zarate D, Stavropoulos V, Ball M, de Sena Collier G, Jacobson N. Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry 2022;22(1) View
  161. Marciano L, Driver C, Schulz P, Camerini A. Dynamics of adolescents’ smartphone use and well-being are positive but ephemeral. Scientific Reports 2022;12(1) View
  162. Bardram J. Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile Sensing. Sensors 2022;22(7):2813 View
  163. Coghlan S, D’Alfonso S. Digital Phenotyping: an Epistemic and Methodological Analysis. Philosophy & Technology 2021;34(4):1905 View
  164. Torous J, Bucci S, Bell I, Kessing L, Faurholt‐Jepsen M, Whelan P, Carvalho A, Keshavan M, Linardon J, Firth J. The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry 2021;20(3):318 View
  165. Sharma M, De Maio M, Young K, Santopietro J. Transformation of Outpatient Psychiatry. Psychiatric Clinics of North America 2022;45(1):57 View
  166. Bilal A, Fransson E, Bränn E, Eriksson A, Zhong M, Gidén K, Elofsson U, Axfors C, Skalkidou A, Papadopoulos F. Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol. BMJ Open 2022;12(4):e059033 View
  167. Kwon S, Firth J, Joshi D, Torous J. Accessibility and availability of smartphone apps for schizophrenia. Schizophrenia 2022;8(1) View
  168. Mandel F, Ghosh R, Barnett I. Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models. Biometrics 2023;79(2):711 View
  169. Baumgartner R. Precision medicine and digital phenotyping: Digital medicine's way from more data to better health. Big Data & Society 2021;8(2) View
  170. Lee J, Solomonov N, Banerjee S, Alexopoulos G, Sirey J. Use of Passive Sensing in Psychotherapy Studies in Late Life: A Pilot Example, Opportunities and Challenges. Frontiers in Psychiatry 2021;12 View
  171. Kathan A, Harrer M, Küster L, Triantafyllopoulos A, He X, Milling M, Gerczuk M, Yan T, Rajamani S, Heber E, Grossmann I, Ebert D, Schuller B. Personalised depression forecasting using mobile sensor data and ecological momentary assessment. Frontiers in Digital Health 2022;4 View
  172. Currey D, Hays R, Torous J. Digital Phenotyping Models of Symptom Improvement in College Mental Health: Generalizability Across Two Cohorts. Journal of Technology in Behavioral Science 2023;8(4):368 View
  173. Li S, Halabi R, Selvarajan R, Woerner M, Fillipo I, Banerjee S, Mosser B, Jain F, Areán P, Pratap A. Recruitment and Retention in Remote Research: Learnings From a Large, Decentralized Real-world Study. JMIR Formative Research 2022;6(11):e40765 View
  174. Biagianti B. What Can Mobile Sensing and Assessment Strategies Capture About Human Subjectivity?. Frontiers in Digital Health 2022;4 View
  175. McCallum M, Ho A, Mitchell E, May C, Behr H, Ritschel L, Mochrie K, Michaelides A. Feasibility, Acceptability, and Preliminary Outcomes of a Cognitive Behavioral Therapy–Based Mobile Mental Well-being Program (Noom Mood): Single-Arm Prospective Cohort Study. JMIR Formative Research 2022;6(4):e36794 View
  176. Cardinal R, Burchell M. The Cambridge Cognitive and Psychiatric Assessment Kit (CamCOPS): A Secure Open-Source Client–Server System for Mobile Research and Clinical Data Capture. Frontiers in Psychiatry 2021;12 View
  177. Gansner M, Nisenson M, Lin V, Carson N, Torous J. Piloting Smartphone Digital Phenotyping to Understand Problematic Internet Use in an Adolescent and Young Adult Sample. Child Psychiatry & Human Development 2023;54(4):997 View
  178. Onnela J, Dixon C, Griffin K, Jaenicke T, Minowada L, Esterkin S, Siu A, Zagorsky J, Jones E. Beiwe: A data collection platform for high-throughput digital phenotyping. Journal of Open Source Software 2021;6(68):3417 View
  179. Dimitriadis I, Mavroudopoulos I, Kyrama S, Toliopoulos T, Gounaris A, Vakali A, Billis A, Bamidis P. Scalable real-time health data sensing and analysis enabling collaborative care delivery. Social Network Analysis and Mining 2022;12(1) View
  180. Lahnakoski J, Eickhoff S, Dukart J, Schilbach L. Naturalizing psychopathology—towards a quantitative real-world psychiatry. Molecular Psychiatry 2022;27(2):781 View
  181. Guo G, Zhang H, Yao L, Li H, Xu C, Li Z, Xu W. MSLife. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(4):1 View
  182. Buckholz A, Rosenblatt R. Remote monitoring of cognition in cirrhosis and encephalopathy: future opportunity and challenge. Metabolic Brain Disease 2023;38(5):1737 View
  183. Huang E, Yan K, Onnela J. Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data. Sensors 2022;22(7):2618 View
  184. De La Fabián R, Jiménez-Molina Á, Pizarro Obaid F. A critical analysis of digital phenotyping and the neuro-digital complex in psychiatry. Big Data & Society 2023;10(1) View
  185. Beukenhorst A, Sergeant J, Schultz D, McBeth J, Yimer B, Dixon W. Understanding the Predictors of Missing Location Data to Inform Smartphone Study Design: Observational Study. JMIR mHealth and uHealth 2021;9(11):e28857 View
  186. Liu G, Onnela J. Online Anomaly Detection for Smartphone-Based Multivariate Behavioral Time Series Data. Sensors 2022;22(6):2110 View
  187. Dewa L, Pappa S, Greene T, Cooke J, Mitchell L, Hadley M, Di Simplicio M, Woodcock T, Aylin P. The Association Between Sleep Disturbance and Suicidality in Psychiatric Inpatients Transitioning to the Community: Protocol for an Ecological Momentary Assessment Study. JMIR Research Protocols 2022;11(5):e33817 View
  188. Doerr M, Meeder S. Big Health Data Research and Group Harm: The Scope of IRB Review. Ethics & Human Research 2022;44(4):34 View
  189. Chen I, Chen Y, Liao S, Lin Y. Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis. Journal of Personalized Medicine 2022;12(6):936 View
  190. Engelmann L. Digital epidemiology, deep phenotyping and the enduring fantasy of pathological omniscience. Big Data & Society 2022;9(1) View
  191. Fritz H, Kinney K, Wu C, Schnyer D, Nagy Z. Data fusion of mobile and environmental sensing devices to understand the effect of the indoor environment on measured and self-reported sleep quality. Building and Environment 2022;214:108835 View
  192. Inomata T, Nakamura M, Sung J, Midorikawa-Inomata A, Iwagami M, Fujio K, Akasaki Y, Okumura Y, Fujimoto K, Eguchi A, Miura M, Nagino K, Shokirova H, Zhu J, Kuwahara M, Hirosawa K, Dana R, Murakami A. Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study. npj Digital Medicine 2021;4(1) View
  193. Bavaresco R, Barbosa J. Ubiquitous computing in light of human phenotypes: foundations, challenges, and opportunities. Journal of Ambient Intelligence and Humanized Computing 2023;14(3):2341 View
  194. Fritz H, Wu C, Novoselac A, Kinney K, Nagy Z. Information fusion of stationary, mobile, and wearable consumer-grade sensors to confidently estimate bedroom ventilation rates. Building and Environment 2023;230:109997 View
  195. Beukenhorst A, Burke K, Scheier Z, Miller T, Paganoni S, Keegan M, Collins E, Connaghan K, Tay A, Chan J, Berry J, Onnela J. Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies. JMIR mHealth and uHealth 2022;10(2):e31877 View
  196. Panda N, Sinyard R, Margo J, Henrich N, Cauley C, Onnela J, Haynes A, Brindle M. Perceptions of Mobile Health Technology in Elective Surgery. Annals of Surgery 2023;277(3):423 View
  197. Spadaro B, Martin-Key N, Bahn S. Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators. Journal of Medical Internet Research 2021;23(10):e27507 View
  198. Birk R, Lavis A, Lucivero F, Samuel G. For what it's worth. Unearthing the values embedded in digital phenotyping for mental health. Big Data & Society 2021;8(2) View
  199. Liebenthal E, Ennis M, Rahimi-Eichi H, Lin E, Chung Y, Baker J. Linguistic and non-linguistic markers of disorganization in psychotic illness. Schizophrenia Research 2023;259:111 View
  200. D’Mello R, Melcher J, Torous J. Similarity matrix-based anomaly detection for clinical intervention. Scientific Reports 2022;12(1) View
  201. Miller M, Raugh I, Strauss G, Harvey P. Remote digital phenotyping in serious mental illness: Focus on negative symptoms, mood symptoms, and self-awareness. Biomarkers in Neuropsychiatry 2022;6:100047 View
  202. Mendes J, Moura I, Van de Ven P, Viana D, Silva F, Coutinho L, Teixeira S, Rodrigues J, Teles A. Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review. Journal of Medical Internet Research 2022;24(2):e28735 View
  203. Deng H, Abouzeid C, Shepler L, Slavin M, Taylor J, Mercier H, Herrera-Escobar J, Kazis L, Ryan C, Schneider J. Using digital phenotyping to characterize psychosocial trajectories for people with burn injury. Burns 2022;48(5):1262 View
  204. Girela-Serrano B, Spiers A, Ruotong L, Gangadia S, Toledano M, Di Simplicio M. Impact of mobile phones and wireless devices use on children and adolescents’ mental health: a systematic review. European Child & Adolescent Psychiatry 2024;33(6):1621 View
  205. Stern É, Micoulaud-Franchi J, Geoffroy P. La psychiatrie connectée, une psychiatrie augmentée ?. Annales Médico-psychologiques, revue psychiatrique 2022;180(7):702 View
  206. Brogly C, Bauer M, Lizotte D, Press M, MacDougall A, Speechley M, Huner E, Mitchell M, Anderson K, Pila E. An App-Based Surveillance System for Undergraduate Students’ Mental Health During the COVID-19 Pandemic: Protocol for a Prospective Cohort Study. JMIR Research Protocols 2021;10(9):e30504 View
  207. Sahandi Far M, Stolz M, Fischer J, Eickhoff S, Dukart J. JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease. Frontiers in Public Health 2021;9 View
  208. Beukenhorst A, Druce K, De Cock D. Smartphones for musculoskeletal research – hype or hope? Lessons from a decennium of mHealth studies. BMC Musculoskeletal Disorders 2022;23(1) View
  209. González-Pérez A, Matey-Sanz M, Granell C, Casteleyn S. Using mobile devices as scientific measurement instruments: Reliable android task scheduling. Pervasive and Mobile Computing 2022;81:101550 View
  210. Francis B, Sundaram A, Manavalan R, Peng W, Zhang H, Ponraj J, Chander Dhanabalan S. Two-dimensional nanostructures based ‘-onics’ and ‘-omics’ in personalized medicine. Nanophotonics 2022;11(22):5019 View
  211. Birk R, Samuel G. Digital Phenotyping for Mental Health: Reviewing the Challenges of Using Data to Monitor and Predict Mental Health Problems. Current Psychiatry Reports 2022;24(10):523 View
  212. Richey A, Kovacs I, Browne S. Use of an Ingestible, Sensor-Based Digital Adherence System to Strengthen the Therapeutic Relationship in Serious Mental Illness. JMIR Mental Health 2022;9(12):e39047 View
  213. Nguyen B, Ivanov M, Bhat V, Krishnan S. Digital phenotyping for classification of anxiety severity during COVID-19. Frontiers in Digital Health 2022;4 View
  214. Elmer T, Lodder G. Modeling social interaction dynamics measured with smartphone sensors: An ambulatory assessment study on social interactions and loneliness. Journal of Social and Personal Relationships 2023;40(2):654 View
  215. Newn J, Kelly R, D'Alfonso S, Lederman R. Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(3):1 View
  216. de Oliveira A, Diniz E, Teixeira S, Teles A. How can machine learning identify suicidal ideation from user's texts? Towards the explanation of the Boamente system. Procedia Computer Science 2022;206:141 View
  217. Sathyanarayanan A, Mueller T, Ali Moni M, Schueler K, Baune B, Lio P, Mehta D, Baune B, Dierssen M, Ebert B, Fabbri C, Fusar-Poli P, Gennarelli M, Harmer C, Howes O, Janzing J, Maron E, Minelli A, Nonell L, Pisanu C, Potier M, Rybakowski F, Serretti A, Squassina A, Stacey D, van Westrhenen R, Xicota L. Multi-omics data integration methods and their applications in psychiatric disorders. European Neuropsychopharmacology 2023;69:26 View
  218. Opoku Asare K, Moshe I, Terhorst Y, Vega J, Hosio S, Baumeister H, Pulkki-Råback L, Ferreira D. Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis. Pervasive and Mobile Computing 2022;83:101621 View
  219. Prakash J, Chaudhury S, Chatterjee K. Digital phenotyping in psychiatry. Industrial Psychiatry Journal 2021;30(2):191 View
  220. Baños R, Herrero R, Vara M. What is the Current and Future Status of Digital Mental Health Interventions?. The Spanish Journal of Psychology 2022;25 View
  221. Zlatintsi A, Filntisis P, Garoufis C, Efthymiou N, Maragos P, Menychtas A, Maglogiannis I, Tsanakas P, Sounapoglou T, Kalisperakis E, Karantinos T, Lazaridi M, Garyfalli V, Mantas A, Mantonakis L, Smyrnis N. E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video Captures. Sensors 2022;22(19):7544 View
  222. FOWLER J, MADAN A, BRUCE C, FRUEH B, KASH B, JONES S, SASANGOHAR F. Improving Psychiatric Care Through Integrated Digital Technologies. Journal of Psychiatric Practice 2021;27(2):92 View
  223. Baumeister H, Garatva P, Pryss R, Ropinski T, Montag C. Digitale Phänotypisierung in der Psychologie – ein Quantensprung in der psychologischen Forschung?. Psychologische Rundschau 2023;74(2):89 View
  224. Keusch F, Bähr S, Haas G, Kreuter F, Trappmann M, Eckman S. Non-Participation in Smartphone Data Collection Using Research Apps. Journal of the Royal Statistical Society Series A: Statistics in Society 2022;185(Supplement_2):S225 View
  225. Stein D, Shoptaw S, Vigo D, Lund C, Cuijpers P, Bantjes J, Sartorius N, Maj M. Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration. World Psychiatry 2022;21(3):393 View
  226. Boaro A, Leung J, Reeder H, Siddi F, Mezzalira E, Liu G, Mekary R, Lu Y, Groff M, Onnela J, Smith T. Smartphone GPS signatures of patients undergoing spine surgery correlate with mobility and current gold standard outcome measures. Journal of Neurosurgery: Spine 2021;35(6):796 View
  227. Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
  228. Diniz E, Fontenele J, de Oliveira A, Bastos V, Teixeira S, Rabêlo R, Calçada D, dos Santos R, de Oliveira A, Teles A. Boamente: A Natural Language Processing-Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation. Healthcare 2022;10(4):698 View
  229. Kilgallon J, Tewarie I, Broekman M, Rana A, Smith T. Passive Data Use for Ethical Digital Public Health Surveillance in a Postpandemic World. Journal of Medical Internet Research 2022;24(2):e30524 View
  230. Gupta A. Digital Phenotyping in Clinical Neurology. Seminars in Neurology 2022;42(01):048 View
  231. Vidal Bustamante C, Coombs G, Rahimi-Eichi H, Mair P, Onnela J, Baker J, Buckner R. Fluctuations in behavior and affect in college students measured using deep phenotyping. Scientific Reports 2022;12(1) View
  232. Ahlgrim N, Garza K, Hoffman C, Rommelfanger K. Prodromes and Preclinical Detection of Brain Diseases: Surveying the Ethical Landscape of Predicting Brain Health. eneuro 2019;6(4):ENEURO.0439-18.2019 View
  233. Panda N, Perez N, Tsangaris E, Edelen M, Pusic A, Zheng F, Haynes A. Enhancing Patient-Centered Surgical Care With Mobile Health Technology. Journal of Surgical Research 2022;274:178 View
  234. Vaidyam A, Halamka J, Torous J. Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study. JMIR mHealth and uHealth 2022;10(1):e30557 View
  235. Roemmich K, Andalibi N. Data Subjects' Conceptualizations of and Attitudes Toward Automatic Emotion Recognition-Enabled Wellbeing Interventions on Social Media. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1 View
  236. Kilshaw R, Adamo C, Butner J, Deboeck P, Shi Q, Bulik C, Flatt R, Thornton L, Argue S, Tregarthen J, Baucom B. Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study. JMIR Research Protocols 2022;11(6):e38294 View
  237. Nisenson M, Lin V, Gansner M. Digital Phenotyping in Child and Adolescent Psychiatry: A Perspective. Harvard Review of Psychiatry 2021;29(6):401 View
  238. Ho S, Liu X, Seraj M, Dickey S. Social distance “nudge:” a context aware mHealth intervention in response to COVID pandemics. Computational and Mathematical Organization Theory 2023;29(3):391 View
  239. Wu C, Fritz H, Miller M, Craddock C, Kinney K, Castelli D, Schnyer D. Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: A GPS-Focused Smartphone Sensing Study. Frontiers in Digital Health 2021;3 View
  240. Kim S, Lee K. Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods. Neuropsychiatric Disease and Treatment 2021;Volume 17:3415 View
  241. Vega J, Li M, Aguillera K, Goel N, Joshi E, Khandekar K, Durica K, Kunta A, Low C. Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices. Frontiers in Digital Health 2021;3 View
  242. Ren B, Balkind E, Pastro B, Israel E, Pizzagalli D, Rahimi-Eichi H, Baker J, Webb C. Predicting states of elevated negative affect in adolescents from smartphone sensors: a novel personalized machine learning approach. Psychological Medicine 2023;53(11):5146 View
  243. Tomičić A, Malešević A, Čartolovni A. Ethical, Legal and Social Issues of Digital Phenotyping as a Future Solution for Present-Day Challenges: A Scoping Review. Science and Engineering Ethics 2022;28(1) View
  244. Li Y, Guo Y, Hong Y, Zeng Y, Monroe-Wise A, Zeng C, Zhu M, Zhang H, Qiao J, Xu Z, Cai W, Li L, Liu C. Dose–Response Effects of Patient Engagement on Health Outcomes in an mHealth Intervention: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(1):e25586 View
  245. Mulinari S. Short-circuiting biology: Digital phenotypes, digital biomarkers, and shifting gazes in psychiatry. Big Data & Society 2023;10(1) View
  246. Barron D, Baker J, Budde K, Bzdok D, Eickhoff S, Friston K, Fox P, Geha P, Heisig S, Holmes A, Onnela J, Powers A, Silbersweig D, Krystal J. Decision Models and Technology Can Help Psychiatry Develop Biomarkers. Frontiers in Psychiatry 2021;12 View
  247. Cohen A, Naslund J, Chang S, Nagendra S, Bhan A, Rozatkar A, Thirthalli J, Bondre A, Tugnawat D, Reddy P, Dutt S, Choudhary S, Chand P, Patel V, Keshavan M, Joshi D, Mehta U, Torous J. Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study. Schizophrenia 2023;9(1) View
  248. Van Assche E, Antoni Ramos-Quiroga J, Pariante C, Sforzini L, Young A, Flossbach Y, Gold S, Hoogendijk W, Baune B, Maron E. Digital tools for the assessment of pharmacological treatment for depressive disorder: State of the art. European Neuropsychopharmacology 2022;60:100 View
  249. Xia C, Barnett I, Tapera T, Adebimpe A, Baker J, Bassett D, Brotman M, Calkins M, Cui Z, Leibenluft E, Linguiti S, Lydon-Staley D, Martin M, Moore T, Murtha K, Piiwaa K, Pines A, Roalf D, Rush-Goebel S, Wolf D, Ungar L, Satterthwaite T. Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity. Neuropsychopharmacology 2022;47(9):1662 View
  250. Coppersmith D, Wang S, Kleiman E, Maimone J, Fedor S, Bentley K, Millner A, Fortgang R, Picard R, Beck S, Huffman J, Nock M. Real-time digital monitoring of a suicide attempt by a hospital patient. General Hospital Psychiatry 2023;80:35 View
  251. Choudhary S, Thomas N, Ellenberger J, Srinivasan G, Cohen R. A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study. JMIR Formative Research 2022;6(5):e37736 View
  252. Ren B, Xia C, Gehrman P, Barnett I, Satterthwaite T. Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study. JMIR Formative Research 2022;6(9):e33890 View
  253. Staples P, Torous J, Barnett I, Carlson K, Sandoval L, Keshavan M, Onnela J. A comparison of passive and active estimates of sleep in a cohort with schizophrenia. npj Schizophrenia 2017;3(1) View
  254. Stampfler T, Elgendi M, Fletcher R, Menon C. The use of deep learning for smartphone-based human activity recognition. Frontiers in Public Health 2023;11 View
  255. Marciano L, Saboor S. Reinventing mental health care in youth through mobile approaches: Current status and future steps. Frontiers in Psychology 2023;14 View
  256. Haddas R, Lawlor M, Moghadam E, Fields A, Wood A. Spine patient care with wearable medical technology: state-of-the-art, opportunities, and challenges: a systematic review. The Spine Journal 2023;23(7):929 View
  257. Langener A, Stulp G, Kas M, Bringmann L. Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review. JMIR Mental Health 2023;10:e42646 View
  258. Xia W, Basford M, Carroll R, Clayton E, Harris P, Kantacioglu M, Liu Y, Nyemba S, Vorobeychik Y, Wan Z, Malin B. Managing re-identification risks while providing access to the All of Us research program. Journal of the American Medical Informatics Association 2023;30(5):907 View
  259. Čermák J, Pietrucha S, Nawka A, Lipone P, Ruggieri A, Bonelli A, Comandini A, Cattaneo A. An Observational Pilot Study using a Digital Phenotyping Approach in Patients with Major Depressive Disorder Treated with Trazodone. Frontiers in Psychiatry 2023;14 View
  260. Langholm C, Byun A, Mullington J, Torous J. Monitoring sleep using smartphone data in a population of college students. npj Mental Health Research 2023;2(1) View
  261. Kim W, Kim H, Pack S, Lim J, Cho C, Lee H. Machine Learning–Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children. JAMA Network Open 2023;6(3):e233502 View
  262. Kalisperakis E, Karantinos T, Lazaridi M, Garyfalli V, Filntisis P, Zlatintsi A, Efthymiou N, Mantas A, Mantonakis L, Mougiakos T, Maglogiannis I, Tsanakas P, Maragos P, Smyrnis N. Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders. Frontiers in Psychiatry 2023;14 View
  263. Walk D, Nicholson K, Locatelli E, Chan J, Macklin E, Ferment V, Manousakis G, Chase M, Connolly M, Dagostino D, Hall M, Ostrow J, Pothier L, Lieberman C, Gelevski D, Randall R, Sherman A, Steinhart E, Walker D, Walker J, Yu H, Wills A, Schwarzschild M, Beukenhorst A, Onnela J, Berry J, Cudkowicz M, Paganoni S. Randomized trial of inosine for urate elevation in amyotrophic lateral sclerosis. Muscle & Nerve 2023;67(5):378 View
  264. Duey A, Rana A, Siddi F, Hussein H, Onnela J, Smith T. Daily Pain Prediction Using Smartphone Speech Recordings of Patients With Spine Disease. Neurosurgery 2023;93(3):670 View
  265. Alfalahi H, Dias S, Khandoker A, Chaudhuri K, Hadjileontiadis L. A scoping review of neurodegenerative manifestations in explainable digital phenotyping. npj Parkinson's Disease 2023;9(1) View
  266. Hicks J, Boswell M, Althoff T, Crum A, Ku J, Landay J, Moya P, Murnane E, Snyder M, King A, Delp S. Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective. Annual Review of Public Health 2023;44(1):131 View
  267. Hidd V, López E, Centellegher S, Roberts S, Lepri B, Dunbar R. The stability of transient relationships. Scientific Reports 2023;13(1) View
  268. Yang F, Shah D, Tahk A, Vjorn O, Dietz S, Pe-Romashko K, Bailey E, Gicquelais R, Hwang J, Gustafson D, Westergaard R. mHealth and social mediation: Mobile support among stigmatized people living with HIV and substance use disorder. New Media & Society 2023;25(4):702 View
  269. Ren B, Barnett I. Combining Mixed Effects Hidden Markov Models with Latent Alternating Recurrent Event Processes to Model Diurnal Active–Rest Cycles. Biometrics 2023;79(4):3402 View
  270. Lam S, Xie Q, Goldberg S. Situating Meditation Apps Within the Ecosystem of Meditation Practice: Population-Based Survey Study. JMIR Mental Health 2023;10:e43565 View
  271. Shen F, Baum M, Martinez-Martin N, Miner A, Abraham M, Brownstein C, Cortez N, Evans B, Germine L, Glahn D, Grady C, Holm I, Hurley E, Kimble S, Lázaro-Muñoz G, Leary K, Marks M, Monette P, Onnela J, O’Rourke P, Rauch S, Shachar C, Sen S, Vahia I, Vassy J, Baker J, Bierer B, Silverman B. Returning Individual Research Results from Digital Phenotyping in Psychiatry. The American Journal of Bioethics 2024;24(2):69 View
  272. Mittermaier M, Venkatesh K, Kvedar J. Digital health technology in clinical trials. npj Digital Medicine 2023;6(1) View
  273. Bell I, Eisner E, Allan S, Cartner S, Torous J, Bucci S, Thomas N. Methodological Characteristics and Feasibility of Ecological Momentary Assessment Studies in Psychosis: a Systematic Review and Meta-Analysis. Schizophrenia Bulletin 2024;50(2):238 View
  274. Gupta P, Muneshwar K, Juganavar A, Shegekar T. Beyond the Asylum Walls: Tracing the Tapestry of Mental Health Interventions Across Eras and Cultures. Cureus 2023 View
  275. Jordan Y. Arpilleda . Predictive Maintenance Strategies for Electrical Equipment: A Literature Review. International Journal of Advanced Research in Science, Communication and Technology 2023:612 View
  276. Li A, Liu R, Liu X, Han J. Editorial: Improving the clinical value of digital phenotyping in mental health. Frontiers in Psychiatry 2023;14 View
  277. Spanakis P, Lorimer B, Newbronner E, Wadman R, Crosland S, Gilbody S, Johnston G, Walker L, Peckham E. Digital health literacy and digital engagement for people with severe mental ill health across the course of the COVID-19 pandemic in England. BMC Medical Informatics and Decision Making 2023;23(1) View
  278. Misiak B, Samochowiec J, Kowalski K, Gaebel W, Bassetti C, Chan A, Gorwood P, Papiol S, Dom G, Volpe U, Szulc A, Kurimay T, Kärkkäinen H, Decraene A, Wisse J, Fiorillo A, Falkai P. The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia. European Psychiatry 2023;66(1) View
  279. Oueidat K, Baird G, Bernstein M, Kim N, Kim D, Dubel G, Jay B, Maxwell A. A Pilot Study of Accelerometer-Based Biometric Data Collection among Patients Undergoing Locoregional Therapies. Journal of Vascular and Interventional Radiology 2023;34(8):1331 View
  280. Seiferth C, Vogel L, Aas B, Brandhorst I, Carlbring P, Conzelmann A, Esfandiari N, Finkbeiner M, Hollmann K, Lautenbacher H, Meinzinger E, Newbold A, Opitz A, Renner T, Sander L, Santangelo P, Schoedel R, Schuller B, Stachl C, Terhorst Y, Torous J, Wac K, Werner-Seidler A, Wolf S, Löchner J. How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health. Nature Mental Health 2023;1(8):542 View
  281. Kim Y, Shin B, Kim K. Digital Biomarkers for Alzheimer’s Disease. Journal of the Korean Neurological Association 2023;41(4):268 View
  282. Pizzoli S, Monzani D, Conti L, Ferraris G, Grasso R, Pravettoni G. Issues and opportunities of digital phenotyping: ecological momentary assessment and behavioral sensing in protecting the young from suicide. Frontiers in Psychology 2023;14 View
  283. Marder S, Umbricht D. Negative symptoms in schizophrenia: Newly emerging measurements, pathways, and treatments. Schizophrenia Research 2023;258:71 View
  284. Barrigon M, Romero-Medrano L, Moreno-Muñoz P, Porras-Segovia A, Lopez-Castroman J, Courtet P, Artés-Rodríguez A, Baca-Garcia E. One-Week Suicide Risk Prediction Using Real-Time Smartphone Monitoring: Prospective Cohort Study. Journal of Medical Internet Research 2023;25:e43719 View
  285. Patrickson B, Musker M, Thorpe D, van Kasteren Y, Bidargaddi N. In-Depth Co-Design of Mental Health Monitoring Technologies by People with Lived Experience. Future Internet 2023;15(6):191 View
  286. Faurholt-Jepsen M, Kyster N, Dyreholt M, Christensen E, Bondo-Kozuch P, Lerche A, Smidt B, Knorr U, Brøndmark K, Cardoso A, Mathiesen A, Sjælland R, Nørbak-Emig H, Sponsor L, Mardosas D, Sarauw-Nielsen I, Bukh J, Heller T, Frost M, Iversen N, Bardram J, Busk J, Vinberg M, Kessing L. The effect of smartphone-based monitoring and treatment including clinical feedback versus smartphone-based monitoring without clinical feedback in bipolar disorder: the SmartBipolar trial—a study protocol for a randomized controlled parallel-group trial. Trials 2023;24(1) View
  287. Carlezon W, Timm S. NPP-Digital Psychiatry and Neuroscience (DPN): a new journal for the era upon us. NPP—Digital Psychiatry and Neuroscience 2023;1(1) View
  288. Lenze E, Torous J, Arean P. Digital and precision clinical trials: innovations for testing mental health medications, devices, and psychosocial treatments. Neuropsychopharmacology 2024;49(1):205 View
  289. Marciano L, Vocaj E, Bekalu M, La Tona A, Rocchi G, Viswanath K. The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review. Journal of Medical Internet Research 2023;25:e45540 View
  290. Kelkar R, Currey D, Nagendra S, Mehta U, Sreeraj V, Torous J, Thirthalli J. Utility of Smartphone-Based Digital Phenotyping Biomarkers in Assessing Treatment Response to Transcranial Magnetic Stimulation in Depression: Proof-of-Concept Study. JMIR Formative Research 2023;7:e40197 View
  291. Muurling M, Pasmooij A, Koychev I, Roik D, Froelich L, Schwertner E, Religa D, Abdelnour C, Boada M, Almici M, Galluzzi S, Cardoso S, de Mendonça A, Owens A, Kuruppu S, Gjestsen M, Lazarou I, Gkioka M, Tsolaki M, Diaz A, Gove D, Visser P, Aarsland D, Lucivero F, de Boer C, Chu D. Ethical challenges of using remote monitoring technologies for clinical research: A case study of the role of local research ethics committees in the RADAR-AD study. PLOS ONE 2023;18(7):e0285807 View
  292. Lozano Hernández C, Medina-García R, de Hoyos-Alonso M, Garrido-Barral A, Minué Lorenzo C, Sanz-Cuesta T, Serrano J, del Rio Ponce A, Gómez-Gascón T, del Cura-González I. Improvement in Quality of Life With the Use of a Technological System Among Patients With Chronic Disease Followed Up in Primary Care (TeNDER Project): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e47331 View
  293. Marin-Dragu S, Forbes A, Sheikh S, Iyer R, Pereira dos Santos D, Alda M, Hajek T, Uher R, Wozney L, Paulovich F, Campbell L, Yakovenko I, Stewart S, Corkum P, Bagnell A, Orji R, Meier S. Associations of active and passive smartphone use with measures of youth mental health during the COVID-19 pandemic. Psychiatry Research 2023;326:115298 View
  294. Pyper E, McKeown S, Hartmann-Boyce J, Powell J. Digital Health Technology for Real-World Clinical Outcome Measurement Using Patient-Generated Data: Systematic Scoping Review. Journal of Medical Internet Research 2023;25:e46992 View
  295. Langholm C, Alon N, Perret S, Torous J. Risk scores in digital psychiatry: Expanding the reach of complex smartphone data by condensing it into simple results. Journal of Behavioral and Cognitive Therapy 2023;33(2):90 View
  296. Macrynikola N, Nguyen N, Lane E, Yen S, Torous J. The Digital Clinic: An Innovative Mental Health Care Delivery Model Utilizing Hybrid Synchronous and Asynchronous Treatment. NEJM Catalyst 2023;4(9) View
  297. Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B, Schoeller F, Mouchabac S, Adrien V. Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health. Journal of Medical Internet Research 2023;25:e44502 View
  298. Mayo K, Basford M, Carroll R, Dillon M, Fullen H, Leung J, Master H, Rura S, Sulieman L, Kennedy N, Banks E, Bernick D, Gauchan A, Lichtenstein L, Mapes B, Marginean K, Nyemba S, Ramirez A, Rotundo C, Wolfe K, Xia W, Azuine R, Cronin R, Denny J, Kho A, Lunt C, Malin B, Natarajan K, Wilkins C, Xu H, Hripcsak G, Roden D, Philippakis A, Glazer D, Harris P. The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research. Annual Review of Biomedical Data Science 2023;6(1):443 View
  299. Lane E, D’Arcey J, Kidd S, Onyeaka H, Alon N, Joshi D, Torous J. Digital Phenotyping in Adults with Schizophrenia: A Narrative Review. Current Psychiatry Reports 2023;25(11):699 View
  300. Valeri L, Rahimi-Eichi H, Liebenthal E, Rauch S, Schutt R, Öngür D, Dixon L, Onnela J, Baker J. Intensive longitudinal assessment of mobility, social activity and loneliness in individuals with severe mental illness during COVID-19. Schizophrenia 2023;9(1) View
  301. Ikäheimonen A, Triana A, Luong N, Ziaei A, Rantaharju J, Darst R, Aledavood T. Niimpy: A toolbox for behavioral data analysis. SoftwareX 2023;23:101472 View
  302. Jenciūtė G, Kasputytė G, Bunevičienė I, Korobeinikova E, Vaitiekus D, Inčiūra A, Jaruševičius L, Bunevičius R, Krikštolaitis R, Krilavičius T, Juozaitytė E, Bunevičius A. Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study. JMIR Research Protocols 2023;12:e49096 View
  303. Langholm C, Kowatsch T, Bucci S, Cipriani A, Torous J. Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research. Digital Biomarkers 2023:104 View
  304. Pellegrini A, Huang E, Staples P, Hart K, Lorme J, Brown H, Perlis R, Onnela J. Estimating longitudinal depressive symptoms from smartphone data in a transdiagnostic cohort. Brain and Behavior 2022;12(2) View
  305. Jurek M, Calder C, Zigler C. Statistical inference for complete and incomplete mobility trajectories under the flight-pause model. Journal of the Royal Statistical Society Series C: Applied Statistics 2024;73(1):162 View
  306. Breitinger S, Gardea-Resendez M, Langholm C, Xiong A, Laivell J, Stoppel C, Harper L, Volety R, Walker A, D'Mello R, Byun A, Zandi P, Goes F, Frye M, Torous J. Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study. Journal of Medical Internet Research 2023;25:e47006 View
  307. Chang S, Gray L, Alon N, Torous J. Patient and Clinician Experiences with Sharing Data Visualizations Integrated into Mental Health Treatment. Social Sciences 2023;12(12):648 View
  308. Nestor B, Chimoff J, Koike C, Weitzman E, Riley B, Uhl K, Kossowsky J. Adolescent and Parent Perspectives on Digital Phenotyping in Youths With Chronic Pain: Cross-Sectional Mixed Methods Survey Study. Journal of Medical Internet Research 2024;26:e47781 View
  309. Wu T, Sherman G, Giorgi S, Thanneeru P, Ungar L, Kamath P, Simonetto D, Curtis B, Shah V. Smartphone sensor data estimate alcohol craving in a cohort of patients with alcohol-associated liver disease and alcohol use disorder. Hepatology Communications 2023;7(12) View
  310. Grieb N, Schmierer L, Kim H, Strobel S, Schulz C, Meschke T, Kubasch A, Brioli A, Platzbecker U, Neumuth T, Merz M, Oeser A. A digital twin model for evidence-based clinical decision support in multiple myeloma treatment. Frontiers in Digital Health 2023;5 View
  311. Kalman J, Burkhardt G, Samochowiec J, Gebhard C, Dom G, John M, Kilic O, Kurimay T, Lien L, Schouler-Ocak M, Vidal D, Wiser J, Gaebel W, Volpe U, Falkai P. Digitalising mental health care: Practical recommendations from the European Psychiatric Association. European Psychiatry 2024;67(1) View
  312. Kasputytė G, Jenciūtė G, Šakinis N, Bunevičienė I, Korobeinikova E, Vaitiekus D, Inčiūra A, Jaruševičius L, Bunevičius R, Krikštolaitis R, Krilavičius T, Juozaitytė E, Bunevičius A. Smartphone sensors for evaluating COVID-19 fear in patients with cancer: a prospective study. Frontiers in Public Health 2024;11 View
  313. Higgins B, Jones L, Devraj K, Kilduff C, Moosajee M. ‘It would help people to help me’: Acceptability of digital phenotyping among young people with visual impairment and their families. DIGITAL HEALTH 2024;10 View
  314. London A, Karlawish J, Largent E, Hey S, McCarthy E. Algorithmic identification of persons with dementia for research recruitment: ethical considerations. Informatics for Health and Social Care 2024;49(1):28 View
  315. Langener A, Bringmann L, Kas M, Stulp G. Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks. Administration and Policy in Mental Health and Mental Health Services Research 2024;51(4):455 View
  316. Wadle L, Ebner-Priemer U, Foo J, Yamamoto Y, Streit F, Witt S, Frank J, Zillich L, Limberger M, Ablimit A, Schultz T, Gilles M, Rietschel M, Sirignano L. Speech Features as Predictors of Momentary Depression Severity in Patients With Depressive Disorder Undergoing Sleep Deprivation Therapy: Ambulatory Assessment Pilot Study. JMIR Mental Health 2024;11:e49222 View
  317. Ahn C, Lee J. Real-Time Monitoring of Non-Suicidal Self-Injury (NSSI): Protocol for Digital Phenotyping (Preprint). JMIR Research Protocols 2023 View
  318. Langener A, Stulp G, Jacobson N, Costanzo A, Jagesar R, Kas M, Bringmann L. It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data. Advances in Methods and Practices in Psychological Science 2024;7(1) View
  319. Tani N, Fujihara H, Ishii K, Kamakura Y, Tsunemi M, Yamaguchi C, Eguchi H, Imamura K, Kanamori S, Kojimahara N, Ebara T. What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies. Journal of Occupational Health 2024;66(1) View
  320. Fu M, Shen J, Gu C, Oliveira E, Shinchuk E, Isaac H, Isaac Z, Sarno D, Kurz J, Silbersweig D, Onnela J, Barron D. The Pain Intervention & Digital Research Program: an operational report on combining digital research with outpatient chronic disease management. Frontiers in Pain Research 2024;5 View
  321. Jung G, Park S, Ma E, Kim H, Lee U. Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data. ACM Computing Surveys 2024;56(9):1 View
  322. Kilshaw R, Boggins A, Everett O, Butner E, Leifker F, Baucom B. Benchmarking Mental Health Status Using Passive Sensor Data: Protocol for a Prospective Observational Study. JMIR Research Protocols 2024;13:e53857 View
  323. Bryan A, Heinz M, Salzhauer A, Price G, Tlachac M, Jacobson N. Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment. Biomedical Materials & Devices 2024;2(2):778 View
  324. Perlmutter E, Dwyer B, Torous J. Social Media and Youth Mental Health: Assessing the Impact Through Current and Novel Digital Phenotyping Methods. Current Treatment Options in Psychiatry 2024;11(2):34 View
  325. Fowler C, Cai X, Baker J, Onnela J, Valeri L. Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies. Journal of the Royal Statistical Society Series C: Applied Statistics 2024;73(3):755 View
  326. Triana A, Saramäki J, Glerean E, Hayward N. Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real‐world digital phenotyping. Human Brain Mapping 2024;45(4) View
  327. Knol L, Nagpal A, Leaning I, Idda E, Hussain F, Ning E, Eisenlohr-Moul T, Beckmann C, Marquand A, Leow A. Smartphone keyboard dynamics predict affect in suicidal ideation. npj Digital Medicine 2024;7(1) View
  328. Zapalac K, Miller M, Champagne F, Schnyer D, Baird B. The effects of physical activity on sleep architecture and mood in naturalistic environments. Scientific Reports 2024;14(1) View
  329. Keshmiri S, Tomonaga S, Mizutani H, Doya K. Respiratory modulation of the heart rate: A potential biomarker of cardiorespiratory function in human. Computers in Biology and Medicine 2024;173:108335 View
  330. Loftness B, Halvorson-Phelan J, O'Leary A, Bradshaw C, Prytherch S, Berman I, Torous J, Copeland W, Cheney N, McGinnis R, McGinnis E. The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE Journal of Biomedical and Health Informatics 2024;28(4):2304 View
  331. Li A, Xue C, Wu R, Wu W, Zhao J, Qiang Y. Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment. International Journal of Human–Computer Interaction 2024:1 View
  332. Beames J, Han J, Shvetcov A, Zheng W, Slade A, Ibrahim O, Rosenberg J, O’Dea B, Kasturi S, Hoon L, Whitton A, Christensen H, Newby J. Use of Smartphone Sensor Data in Detecting and Predicting Depression and Anxiety in Young People (12-25 Years): A Scoping Review. SSRN Electronic Journal 2024 View
  333. Halabi R, Mulsant B, Alda M, DeShaw A, Hintze A, Husain M, O'Donovan C, Patterson R, Ortiz A. Not missing at random: Missing data are associated with clinical status and trajectories in an electronic monitoring longitudinal study of bipolar disorder. Journal of Psychiatric Research 2024;174:326 View
  334. Vidal Bustamante C, Coombs III G, Rahimi-Eichi H, Mair P, Onnela J, Baker J, Buckner R. Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study. JMIR Formative Research 2024;8:e53441 View
  335. Martin J, Rueda A, Lee G, Tassone V, Park H, Ivanov M, Darnell B, Beavers L, Campbell D, Nguyen B, Torres A, Jung H, Lou W, Nazarov A, Ashbaugh A, Kapralos B, Litz B, Jetly R, Dubrowski A, Strudwick G, Krishnan S, Bhat V. Digital Interventions to Understand and Mitigate Stress Response: Protocol for Process and Content Evaluation of a Cohort Study. JMIR Research Protocols 2024;13:e54180 View
  336. Jyoti A, Yadav V, Pal A, Rahul M, Jha S. The Transformative Impact of AI and Machine Learning on Human Psychology. Recent Advances in Computer Science and Communications 2024;17(2) View
  337. Langer P, Altmüller S, Fleisch E, Barata F. CLAID: Closing the Loop on AI & Data Collection — A cross-platform transparent computing middleware framework for smart edge-cloud and digital biomarker applications. Future Generation Computer Systems 2024;159:505 View
  338. Andreoletti M, Haller L, Vayena E, Blasimme A, Li-Jessen N. Mapping the ethical landscape of digital biomarkers: A scoping review. PLOS Digital Health 2024;3(5):e0000519 View
  339. Cohen A, Naslund J, Lane E, Bhan A, Rozatkar A, Mehta U, Vaidyam A, Byun A, Barnett I, Torous J. Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample. Acta Psychiatrica Scandinavica 2024 View
  340. Bilal A, Pagoni K, Iliadis S, Papadopoulos F, Skalkidou A, Öster C. Exploring User Experiences of the Mom2B mHealth Research App During the Perinatal Period: Qualitative Study. JMIR Formative Research 2024;8:e53508 View
  341. Ciharova M, Amarti K, van Breda W, Peng X, Lorente-Català R, Funk B, Hoogendoorn M, Koutsouleris N, Fusar-Poli P, Karyotaki E, Cuijpers P, Riper H. Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review. Biological Psychiatry 2024;96(7):519 View
  342. van Heerden A, Poudyal A, Hagaman A, Maharjan S, Byanjankar P, Bemme D, Thapa A, Kohrt B. Integration of passive sensing technology to enhance delivery of psychological interventions for mothers with depression: the StandStrong study. Scientific Reports 2024;14(1) View
  343. D’Alfonso S, Coghlan S, Schmidt S, Mangelsdorf S. Ethical Dimensions of Digital Phenotyping Within the Context of Mental Healthcare. Journal of Technology in Behavioral Science 2024 View
  344. Nawabi N, Emedom-Nnamdi P, Kilgallon J, Gerstl J, Cote D, Jha R, Ellen J, Maniar K, Hong C, Dawood H, Onnela J, Smith T. Assessing Mobility in Patients With Glioblastoma Using Digital Phenotyping—Piloting the Digital Assessment in Neuro-Oncology. Neurosurgery 2024 View
  345. Griffin A, Mentch L, Lin F, Chung A. mHealth Physical Activity and Patient-Reported Outcomes in Patients With Inflammatory Bowel Diseases: Cluster Analysis. Journal of Medical Internet Research 2024;26:e48020 View
  346. Bennewith C, Bellali J, Watkins L, Tromans S, Bhui K, Shankar R. Sublime and extended reality experiences to enhance emotional wellbeing for autistic people: A state of the art review and narrative synthesis. International Journal of Social Psychiatry 2024 View
  347. Valeri L, Cai X, Rahimi Eichi H, Liebenthal E, Rauch S, Ongur D, Schutt R, Dixon L, Onnela J, Baker J. Smartphone-based markers of social connectivity in schizophrenia and bipolar disorder. NPP—Digital Psychiatry and Neuroscience 2024;2(1) View
  348. Beames J, Han J, Shvetcov A, Zheng W, Slade A, Dabash O, Rosenberg J, O'Dea B, Kasturi S, Hoon L, Whitton A, Christensen H, Newby J. Use of smartphone sensor data in detecting and predicting depression and anxiety in young people (12–25 years): A scoping review. Heliyon 2024;10(15):e35472 View
  349. Langholm C, Breitinger S, Gray L, Goes F, Walker A, Xiong A, Stopel C, Zandi P, Frye M, Torous J. Using data processing to understand inconsistency in smartphone behavior among patients with serious mental illness: Results of a digital phenotyping biomarker study. Biomarkers in Neuropsychiatry 2024;11:100105 View
  350. Langener A, Siepe B, Elsherif M, Niemeijer K, Andresen P, Akre S, Bringmann L, Cohen Z, Choukas N, Drexl K, Fassi L, Green J, Hoffmann T, Jagesar R, Kas M, Kurten S, Schoedel R, Stulp G, Turner G, Jacobson N. A template and tutorial for preregistering studies using passive smartphone measures. Behavior Research Methods 2024 View
  351. Ortiz A, Mulsant B. Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?. Journal of Medical Internet Research 2024;26:e59826 View
  352. Allen K, Rodriguez S, Hayani L, Rothenberger S, Moses-Kolko E, Simhan H, Krishnamurti T. Digital phenotyping of depression during pregnancy using self-report data. Journal of Affective Disorders 2024;364:231 View
  353. Grosman-Rimon L, Wegier P. With advancement in health technology comes great responsibility – Ethical and safety considerations for using digital health technology: A narrative review. Medicine 2024;103(33):e39136 View
  354. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  355. Kangarloo T, Latzman R, Adams J, Dorsey R, Kostrzebski M, Severson J, Anderson D, Horak F, Stephenson D, Cosman J. Acceptability of digital health technologies in early Parkinson's disease: lessons from WATCH-PD. Frontiers in Digital Health 2024;6 View
  356. Wallace M, Frank E, McClung C, Cote S, Kendrick J, Payne S, Frost-Pineda K, Leach J, Matthews M, Choudhury T, Kupfer D. A translationally informed approach to vital signs for psychiatry: a preliminary proof of concept. NPP—Digital Psychiatry and Neuroscience 2024;2(1) View
  357. Paulino D, Netto A, Brito W, Paredes H. WebTraceSense—A Framework for the Visualization of User Log Interactions. Eng 2024;5(3):2206 View
  358. Sonig A, Deeney C, Hurley M, Storch E, Herrington J, Lázaro-Muñoz G, Zampella C, Tunc B, Parish-Morris J, Blumenthal-Barby J, Kostick-Quenet K. Ethical concerns of using computer perception technologies among pediatric patients. AI and Ethics 2024 View
  359. Firth J, Sawyer C, Sainsbury J, Morell R, Fibbins H, Bucci S, Hassan L, Firth J, Onyweaka H, Torous J, Lovell K. Using physical health apps to promote healthy lifestyles in youth mental healthcare: A nationwide perspective-gathering exercise of over 400 service users. Psychiatry Research 2024;342:116187 View
  360. McInerney A, Schmitz N, Matthews M, Deschênes S. “Anything that would help is a positive development”: feasibility, tolerability, and user experience of smartphone-based digital phenotyping for people with and without type 2 diabetes. BMC Digital Health 2024;2(1) View
  361. Chitale V, Henry J, Liang H, Matthews B, Baghaei N. Virtual reality analytics map (VRAM): A conceptual framework for detecting mental disorders using virtual reality data. New Ideas in Psychology 2025;76:101127 View
  362. Hackett K, Xu S, McKniff M, Paglia L, Barnett I, Giovannetti T. Mobility-Based Smartphone Digital Phenotypes Unobtrusively Capture Everyday Cognition, Mood, and Community Life-Space in Older Adults: A Pilot Study (Preprint). JMIR Human Factors 2024 View
  363. Rodman A, Vidal Bustamante C, Dennison M, Flournoy J, Coppersmith D, Nook E, Worthington S, Mair P, McLaughlin K. A Year in the Social Life of a Teenager: Within-Persons Fluctuations in Stress, Phone Communication, and Anxiety and Depression. Clinical Psychological Science 2021;9(5):791 View
  364. Hartnagel L, Emden D, Foo J, Streit F, Witt S, Frank J, Limberger M, Schmitz S, Gilles M, Rietschel M, Hahn T, Ebner-Priemer U, Sirignano L. Momentary Depression-Severity Prediction in Acutely Depressed Patients undergoing Sleep Deprivation Therapy: Speech-based Machine Learning (Preprint). JMIR Mental Health 2024 View
  365. Fortgang R, Wang S, Millner A, Reid-Russell A, Beukenhorst A, Kleiman E, Bentley K, Zuromski K, Al-Suwaidi M, Bird S, Buonopane R, DeMarco D, Haim A, Joyce V, Kastman E, Kilbury E, Lee H, Mair P, Nash C, Onnela J, Smoller J, Nock M. Increase in Suicidal Thinking During COVID-19. Clinical Psychological Science 2021;9(3):482 View

Books/Policy Documents

  1. Baños R, Vara M, Mira A, García-Palacios A, Botella C. Comprehensive Clinical Psychology. View
  2. Teles A, Barros F, Rodrigues I, Barbosa A, Silva F, Coutinho L, Teixeira S. IoT and ICT for Healthcare Applications. View
  3. Zeng Y, Fraccaro P, Peek N. Artificial Intelligence in Medicine. View
  4. Bell I, Lim M, Thomas N. A Clinical Introduction to Psychosis. View
  5. Senders J, Maher N, Hulsbergen A, Lamba N, Bredenoord A, Broekman M. Ethics of Innovation in Neurosurgery. View
  6. Ebert D, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. View
  7. Holt-Lunstad J, Lefler M. Encyclopedia of Gerontology and Population Aging. View
  8. Stanimirovic A. Chronic Stress and Its Effect on Brain Structure and Connectivity. View
  9. Karhade A, Gormley W, Smith T. Quality and Safety in Neurosurgery. View
  10. Torous J, Namiri N, Keshavan M. Personalized Psychiatry. View
  11. Mammi M, Boaro A, Kavouridis V, Hulsbergen A, Senders J, Gormley W, Smith T, Arnaout O. Artificial Intelligence in Precision Health. View
  12. Holt-Lunstad J, Lefler M. Encyclopedia of Gerontology and Population Aging. View
  13. Perez-Pozuelo I, Spathis D, Clifton E, Mascolo C. Digital Health. View
  14. Stanimirovic A. Research Anthology on Mental Health Stigma, Education, and Treatment. View
  15. Vaid S, Abdullah S, Thomaz E, Harari G. Measuring and Modeling Persons and Situations. View
  16. Lewis R, Liu Y, Groh M, Picard R. HCI International 2021 - Posters. View
  17. Verhagen S, van Os J, Delespaul P. Mental Health in a Digital World. View
  18. Smelror R, Ueland T. Adolescent Psychosis. View
  19. Orte S, Migliorelli C, Sistach-Bosch L, Subías-Beltrán P, Cecilia Fritzsche P, Galofré M, Gómez-Martínez M, Miralles F, Marí D, Ribas V. Recommender Systems [Working Title]. View
  20. Lahoud A, Gladstone T, B. Clark S, Flessner C. Mental Health in a Digital World. View
  21. Friedrich O, Schleidgen S, Seifert J. Medizin – Technik – Ethik. View
  22. Morese R, Naslund J, Galea S, Gruebner O. Comprehensive Clinical Psychology. View
  23. Garatva P, Terhorst Y, Messner E, Karlen W, Pryss R, Baumeister H. Digital Phenotyping and Mobile Sensing. View
  24. Schilbach L, Lahnakoski J. Social and Affective Neuroscience of Everyday Human Interaction. View
  25. Holt-Lunstad J, Lefler M. Encyclopedia of Gerontology and Population Aging. View
  26. Harrer M, Terhorst Y, Baumeister H, Ebert D. Digitale Gesundheitsinterventionen. View
  27. Siddarth P, Hodes J, Small G. Encyclopedia of the Human Brain. View
  28. Tsakmaki P, Tasoulis S. Handbook of Computational Neurodegeneration. View
  29. Emmert K, Maetzler W. Gerontechnology. A Clinical Perspective. View
  30. Laurindo L, de Moura I, Coutinho L, da Silva e Silva F. Pervasive Computing Technologies for Healthcare. View
  31. Giannopoulou P, Vlamos P. GeNeDis 2022. View
  32. Tsakmaki P, Tasoulis S. Handbook of Computational Neurodegeneration. View
  33. Larsen M, Vo L, Pratap A, Peters D. Tasman’s Psychiatry. View
  34. Ceja J, Arenas A, Romero C, Rodríguez S, Luna G. Information Technology and Systems. View
  35. Pizzoli S, Durosini I, Strika M, Pravettoni G. Artificial Intelligence for Medicine. View
  36. Muñoz J, Borbón D, Bezerra A. Brains and Machines: Towards a Unified Ethics of AI and Neuroscience. View
  37. Sreeraj V, Parlikar R, Bagali K, Singh Shekhawat H, Venkatasubramanian G. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare. View
  38. Manna M, Mondal L, Manna A, Naskar A. Revolutionizing Healthcare Treatment With Sensor Technology. View
  39. Davies A, Fried E, Costilla-Reyes O, Aung H. Pervasive Computing Technologies for Healthcare. View
  40. Wang Y. Natural Language Processing in Biomedicine. View
  41. Tsakmaki P, Tasoulis S, Georgakopoulos S, Plagianakos V. Engineering Applications of Neural Networks. View
  42. Larsen M, Vo L, Pratap A, Peters D. Tasman’s Psychiatry. View
  43. Irmak-Yazicioglu M, Arslan A. Recent Advances and Challenges in the Treatment of Major Depressive Disorder. View