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
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  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;56(8):8289 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
  366. Mourad J, Daniels K, Bogaerts K, Desseilles M, Bonnechère B. Innovative Digital Phenotyping Method to Assess Body Representations in Autistic Adults: A Perspective on Multisensor Evaluation. Sensors 2024;24(20):6523 View
  367. Sideri K, van Dijk N. The techno-politics of computing the mind: Opening the black box of digital psychiatry. Social Studies of Science 2024 View
  368. Lipschitz J, Lin S, Saghafian S, Pike C, Burdick K. Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology. Acta Psychiatrica Scandinavica 2024 View
  369. Song M, Yang Z, Triantafyllopoulos A, Zhang Z, Nan Z, Tang M, Takeuchi H, Nakamura T, Kishi A, Ishizawa T, Yoshiuchi K, Schuller B, Yamamoto Y. Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study. JMIR Mental Health 2024;11:e59512 View
  370. Hamilton J, Dreier M, Caproni B, Fedor J, Durica K, Low C. Improving the Science of Adolescent Social Media and Mental Health: Challenges and Opportunities of Smartphone-Based Mobile Sensing and Digital Phenotyping. Journal of Technology in Behavioral Science 2024 View
  371. Lee T, Chen C, Chen I, Chen H, Wu S, Liu C, Hsiao C, Kuo P. Dynamic bidirectional associations between GPS mobility and ecological momentary assessment of mood symptoms in mood disorders (Preprint). Journal of Medical Internet Research 2023 View
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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
  44. Kashyap S, Singh S. Digital Health. View
  45. Lalumera E. Epistemic Justice in Mental Healthcare. View