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

Journals
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Jacobson N, Weingarden H, Wilhelm S. Using Digital Phenotyping to Accurately Detect Depression Severity. Journal of Nervous & Mental Disease 2019;207(10):893 View
- 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
- 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
- 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
- Panda N, Solsky I, Haynes A. Redefining shared decision-making in the digital era. European Journal of Surgical Oncology 2019;45(12):2287 View
- 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
- 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
- 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
- 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
- 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
- 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
- . Digital Sensory Phenotyping for Psychiatric Disorders. Journal of Psychiatry and Brain Science 2020 View
- 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
- Huang E, Onnela J. Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. Sensors 2020;20(13):3706 View
- 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
- 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
- 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
- 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
- Panda N, Haynes A. Prioritizing the Patient Perspective in Oncologic Surgery. Annals of Surgical Oncology 2020;27(1):43 View
- 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
- 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
- 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
- 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
- Barnett I, Onnela J. Inferring mobility measures from GPS traces with missing data. Biostatistics 2020;21(2):e98 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Melamed A, Wright A. Patient Reported Outcomes: Recent Successes and Future Opportunities. Gynecologic Oncology 2018;148(1):1 View
- Green M, Horan W, Lee J. Nonsocial and social cognition in schizophrenia: current evidence and future directions. World Psychiatry 2019;18(2):146 View
- 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
- 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
- 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
- Bhidayasiri R, Mari Z. Digital phenotyping in Parkinson's disease: Empowering neurologists for measurement-based care. Parkinsonism & Related Disorders 2020;80:35 View
- Nugent N, Pendse S, Schatten H, Armey M. Innovations in Technology and Mechanisms of Change in Behavioral Interventions. Behavior Modification 2019:014544551984560 View
- 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
- 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
- Liang Y, Zheng X, Zeng D. A survey on big data-driven digital phenotyping of mental health. Information Fusion 2019;52:290 View
- 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
- Engelhard M, Oliver J, McClernon F. Digital envirotyping: quantifying environmental determinants of health and behavior. npj Digital Medicine 2020;3(1) View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Marsch L. Digital health data-driven approaches to understand human behavior. Neuropsychopharmacology 2021;46(1):191 View
- Onnela J. Opportunities and challenges in the collection and analysis of digital phenotyping data. Neuropsychopharmacology 2021;46(1):45 View
- 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
- 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
- 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
- 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
- Huys Q, Renz D. A Formal Valuation Framework for Emotions and Their Control. Biological Psychiatry 2017;82(6):413 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Snyder J, Pawloski J, Poisson L. Developing Real-world Evidence-Ready Datasets: Time for Clinician Engagement. Current Oncology Reports 2020;22(5) View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Braga R, Buckner R. Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity. Neuron 2017;95(2):457 View
- Bell I, Alvarez-Jimenez M. Digital Technology to Enhance Clinical Care of Early Psychosis. Current Treatment Options in Psychiatry 2019;6(3):256 View
- Reinertsen E, Clifford G. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiological Measurement 2018;39(5):05TR01 View
- 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
- 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
- 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
- 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
- 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
- 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
- Wilson J, Altman R. Biomarkers: Delivering on the expectation of molecularly driven, quantitative health. Experimental Biology and Medicine 2018;243(3):313 View
- 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
- 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
- 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
- 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
- Onnela J, Rauch S. Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health. Neuropsychopharmacology 2016;41(7):1691 View
- Bhattacharya K, Kaski K. Social physics: uncovering human behaviour from communication. Advances in Physics: X 2019;4(1):1527723 View
- 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
- 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
- Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;1(1):87 View
- 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
- Gruber W, Powell A, Torous J. The power of capturing and using information at the point of care. Healthcare 2017;5(3):86 View
- 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
- Tekin Ş. Is Big Data the New Stethoscope? Perils of Digital Phenotyping to Address Mental Illness. Philosophy & Technology 2021;34(3):447 View
- . Theme 10 Disease stratification and phenotyping. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2018;19(sup1):282 View
- 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
- 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
- Davidson B. The crossroads of digital phenotyping. General Hospital Psychiatry 2022;74:126 View
- 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
- 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
- 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
- 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
- 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
- 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
- Henson P, Peck P, Torous J. Considering the Therapeutic Alliance in Digital Mental Health Interventions. Harvard Review of Psychiatry 2019;27(4):268 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- McGowan N, Saunders K. The Emerging Circadian Phenotype of Borderline Personality Disorder: Mechanisms, Opportunities and Future Directions. Current Psychiatry Reports 2021;23(5) View
- 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
- 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
- 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
- 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
- Kirkpatrick B, Cohen A, Bitter I, Strauss G. Primary Negative Symptoms: Refining the Research Target. Schizophrenia Bulletin 2021;47(5):1207 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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 2022:107385842210986 View
- 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
- 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
- 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
- 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
- Khedraki R, Srivastava A, Bhavnani S. Framework for Digital Health Phenotypes in Heart Failure. Heart Failure Clinics 2022;18(2):223 View
- 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
- Kishimoto T. Will digital technology address the challenges of drug development in psychiatry?. World Psychiatry 2023;22(1):79 View
- 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
- 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
- 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
- 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
- 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
- Bardram J. Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile Sensing. Sensors 2022;22(7):2813 View
- Coghlan S, D’Alfonso S. Digital Phenotyping: an Epistemic and Methodological Analysis. Philosophy & Technology 2021;34(4):1905 View
- 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
- Sharma M, De Maio M, Young K, Santopietro J. Transformation of Outpatient Psychiatry. Psychiatric Clinics of North America 2022;45(1):57 View
- 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
- Kwon S, Firth J, Joshi D, Torous J. Accessibility and availability of smartphone apps for schizophrenia. Schizophrenia 2022;8(1) View
- Mandel F, Ghosh R, Barnett I. Neural networks for clustered and longitudinal data using mixed effects models. Biometrics 2022 View
- Baumgartner R. Precision medicine and digital phenotyping: Digital medicine's way from more data to better health. Big Data & Society 2021;8(2):205395172110664 View
- 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
- 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
- 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 View
- 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
- Biagianti B. What Can Mobile Sensing and Assessment Strategies Capture About Human Subjectivity?. Frontiers in Digital Health 2022;4 View
- 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
- 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
- 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 2022 View
- 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
- 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
- Lahnakoski J, Eickhoff S, Dukart J, Schilbach L. Naturalizing psychopathology—towards a quantitative real-world psychiatry. Molecular Psychiatry 2022;27(2):781 View
- 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
- Buckholz A, Rosenblatt R. Remote monitoring of cognition in cirrhosis and encephalopathy: future opportunity and challenge. Metabolic Brain Disease 2023;38(5):1737 View
- Huang E, Yan K, Onnela J. Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data. Sensors 2022;22(7):2618 View
- 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):205395172211490 View
- 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
- Liu G, Onnela J. Online Anomaly Detection for Smartphone-Based Multivariate Behavioral Time Series Data. Sensors 2022;22(6):2110 View
- 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
- Doerr M, Meeder S. Big Health Data Research and Group Harm: The Scope of IRB Review. Ethics & Human Research 2022;44(4):34 View
- 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
- Engelmann L. Digital epidemiology, deep phenotyping and the enduring fantasy of pathological omniscience. Big Data & Society 2022;9(1):205395172110664 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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):205395172110473 View
- 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 2022 View
- D’Mello R, Melcher J, Torous J. Similarity matrix-based anomaly detection for clinical intervention. Scientific Reports 2022;12(1) View
- 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
- 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
- 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
- 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 2022 View
- Stern É, Micoulaud-Franchi J, Geoffroy P. La psychiatrie connectée, une psychiatrie augmentée ?. Annales Médico-psychologiques, revue psychiatrique 2022;180(7):702 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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, Lio P, Maron E, Mehta D, 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
- 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
- Prakash J, Chaudhury S, Chatterjee K. Digital phenotyping in psychiatry: When mental health goes binary. Industrial Psychiatry Journal 2021;30(2):191 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
- 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
- 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
- Gupta A. Digital Phenotyping in Clinical Neurology. Seminars in Neurology 2022;42(01):048 View
- 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
- 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
- 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
- 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
- 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
- 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
- Nisenson M, Lin V, Gansner M. Digital Phenotyping in Child and Adolescent Psychiatry: A Perspective. Harvard Review of Psychiatry 2021;29(6):401 View
- 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 2022 View
- 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
- 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
- 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
- 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 2022:1 View
- 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
- 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
- Mulinari S. Short-circuiting biology: Digital phenotypes, digital biomarkers, and shifting gazes in psychiatry. Big Data & Society 2023;10(1):205395172211456 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Marciano L, Saboor S. Reinventing mental health care in youth through mobile approaches: Current status and future steps. Frontiers in Psychology 2023;14 View
- 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 View
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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;Publish Ahead of Print View
- 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
- 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
- Hidd V, López E, Centellegher S, Roberts S, Lepri B, Dunbar R. The stability of transient relationships. Scientific Reports 2023;13(1) View
- 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
- Ren B, Barnett I. Combining mixed effects hidden Markov models with latent alternating recurrent event processes to model diurnal active–rest cycles. Biometrics 2023 View
- 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
- 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 2023:1 View
- Mittermaier M, Venkatesh K, Kvedar J. Digital health technology in clinical trials. npj Digital Medicine 2023;6(1) View
Books/Policy Documents
- Baños R, Vara M, Mira A, García-Palacios A, Botella C. Comprehensive Clinical Psychology. View
- Teles A, Barros F, Rodrigues I, Barbosa A, Silva F, Coutinho L, Teixeira S. IoT and ICT for Healthcare Applications. View
- Zeng Y, Fraccaro P, Peek N. Artificial Intelligence in Medicine. View
- Bell I, Lim M, Thomas N. A Clinical Introduction to Psychosis. View
- Senders J, Maher N, Hulsbergen A, Lamba N, Bredenoord A, Broekman M. Ethics of Innovation in Neurosurgery. View
- Ebert D, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. View
- Holt-Lunstad J, Lefler M. Encyclopedia of Gerontology and Population Aging. View
- Stanimirovic A. Chronic Stress and Its Effect on Brain Structure and Connectivity. View
- Karhade A, Gormley W, Smith T. Quality and Safety in Neurosurgery. View
- Torous J, Namiri N, Keshavan M. Personalized Psychiatry. View
- Mammi M, Boaro A, Kavouridis V, Hulsbergen A, Senders J, Gormley W, Smith T, Arnaout O. Artificial Intelligence in Precision Health. View
- Holt-Lunstad J, Lefler M. Encyclopedia of Gerontology and Population Aging. View
- Perez-Pozuelo I, Spathis D, Clifton E, Mascolo C. Digital Health. View
- Stanimirovic A. Research Anthology on Mental Health Stigma, Education, and Treatment. View
- Vaid S, Abdullah S, Thomaz E, Harari G. Measuring and Modeling Persons and Situations. View
- Lewis R, Liu Y, Groh M, Picard R. HCI International 2021 - Posters. View
- Verhagen S, van Os J, Delespaul P. Mental Health in a Digital World. View
- Smelror R, Ueland T. Adolescent Psychosis. View
- 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
- Lahoud A, Gladstone T, B. Clark S, Flessner C. Mental Health in a Digital World. View
- Friedrich O, Schleidgen S, Seifert J. Medizin – Technik – Ethik. View
- Morese R, Naslund J, Galea S, Gruebner O. Comprehensive Clinical Psychology. View
- Garatva P, Terhorst Y, Messner E, Karlen W, Pryss R, Baumeister H. Digital Phenotyping and Mobile Sensing. View
- Schilbach L, Lahnakoski J. Social and Affective Neuroscience of Everyday Human Interaction. View
- Holt-Lunstad J, Lefler M. Encyclopedia of Gerontology and Population Aging. View
- Harrer M, Terhorst Y, Baumeister H, Ebert D. Digitale Gesundheitsinterventionen. View
- Siddarth P, Hodes J, Small G. Reference Module in Neuroscience and Biobehavioral Psychology. View
- Tsakmaki P, Tasoulis S. Handbook of Computational Neurodegeneration. View