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

Digital Biomarkers and Digital Phenotyping (191) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Machine Learning (1465) Ecological Momentary Assessment (EMA) (309) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 7, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14149, first published .
Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

Authors of this article:

Heejung Kim1, 2 Author Orcid Image ;   SungHee Lee3 Author Orcid Image ;   SangEun Lee4 Author Orcid Image ;   Soyun Hong1 Author Orcid Image ;   HeeJae Kang3 Author Orcid Image ;   Namhee Kim1 Author Orcid Image
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