This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (277) Digital Biomarkers and Digital Phenotyping (198) Reviews in Digital Mental Health (247) mHealth for Wellness, Behavior Change and Prevention (2924) mHealth for Data Collection and Research (982) Anxiety and Stress Disorders (1081) Depression and Mood Disorders; Suicide Prevention (1393) Wearable Devices and Sensors (906)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40689, first published .
Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review

Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review

Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review

Authors of this article:

Adrien Choi1 Author Orcid Image ;   Aysel Ooi1 Author Orcid Image ;   Danielle Lottridge1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. 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
  2. Lim D, Jeong J, Song Y, Cho C, Yeom J, Lee T, Lee J, Lee H, Kim J. Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features. npj Digital Medicine 2024;7(1) View