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
Journals
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- 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
- 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
- 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
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- Moussaoui J, Smith A, Velkoff E. Latent subtypes of self‐injurious urges among adults engaging in disordered eating and non‐suicidal self‐injury. Suicide and Life-Threatening Behavior 2024 View
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