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

Digital Biomarkers and Digital Phenotyping (198) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Machine Learning (1501) Ecological Momentary Assessment (EMA) (321) Depression and Mood Disorders; Suicide Prevention (1392)

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
Article Authors Cited by (74) Tweetations (8) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.