Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44502, first published .
Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

Journals

  1. Bassil K. Balancing the Double-Edged Implications of AI in Psychiatric Digital Phenotyping. The American Journal of Bioethics 2024;24(2):113 View
  2. Schoeller F, Christov-Moore L, Lynch C, Diot T, Reggente N, Boggio P. Predicting individual differences in peak emotional response. PNAS Nexus 2024;3(3) View
  3. Solsky I, Haynes A. Beyond the physical: Digital phenotyping and the complexity of surgical recovery. Surgery 2024;176(2):519 View
  4. Ciharova M, Amarti K, van Breda W, Peng X, Lorente-Català R, Funk B, Hoogendoorn M, Koutsouleris N, Fusar-Poli P, Karyotaki E, Cuijpers P, Riper H. Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review. Biological Psychiatry 2024;96(7):519 View
  5. D’Alfonso S, Coghlan S, Schmidt S, Mangelsdorf S. Ethical Dimensions of Digital Phenotyping Within the Context of Mental Healthcare. Journal of Technology in Behavioral Science 2024 View
  6. Kramer M, Hirsch D, Sacic A, Sader A, Willms J, Juckel G, Mavrogiorgou P. AI-enhanced analysis of naturalistic social interactions characterizes interaffective impairments in schizophrenia. Journal of Psychiatric Research 2024;178:210 View
  7. Nehls S, Dukart J, Enzensberger C, Stickeler E, Eickhoff S, Chechko N. Vorhersage und frühzeitige Identifikation einer postpartalen Depression: Ergebnisse der longitudinalen RiPoD-Studie im Kontext der Literatur. Der Nervenarzt 2024 View
  8. Malden D, Gee J, Glenn S, Li Z, Ryan D, Gu Z, Bezi C, Kim S, Jazwa A, McNeil M, Weintraub E, Tartof S. A Texting- and Internet-Based Self-Reporting System for Enhanced Vaccine Safety Surveillance With Insights From a Large Integrated Health Care System in the United States: Prospective Cohort Study. JMIR mHealth and uHealth 2024;12:e58991 View
  9. Karas M, Huang D, Clement Z, Millner A, Kleiman E, Bentley K, Zuromski K, Fortgang R, DeMarco D, Haim A, Donovan A, Buonopane R, Bird S, Smoller J, Nock M, Onnela J. Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study. JMIR mHealth and uHealth 2024;12:e57439 View
  10. Hong M, Kang R, Yang J, Rhee S, Lee H, Kim Y, Lee K, Kim H, Lee Y, Youn T, Kim S, Ahn Y. Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study. Journal of Medical Internet Research 2024;26:e65994 View
  11. Liu Q, Ning E, Ross M, Cladek A, Kabir S, Barve A, Kennelly E, Hussain F, Duffecy J, Langenecker S, Nguyen T, Tulabandhula T, Zulueta J, Demos A, Leow A, Ajilore O. Digital Phenotypes of Mobile Keyboard Backspace Rates and Their Associations With Symptoms of Mood Disorder: Algorithm Development and Validation. Journal of Medical Internet Research 2024;26:e51269 View
  12. De la Torre K, Min S, Lee H, Kang D. The Application of Preventive Medicine in the Future Digital Health Era (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Cho C, Lee H, Kim Y. Recent Advances and Challenges in the Treatment of Major Depressive Disorder. View
  2. Irmak-Yazicioglu M, Arslan A. Recent Advances and Challenges in the Treatment of Major Depressive Disorder. View