Accessibility settings

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

Applications of AI (377) Depression and Mood Disorders; Suicide Prevention (1796) Machine Learning (2298) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (175) Digital Biomarkers and Digital Phenotyping (339)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69494, first published .
Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach

Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach

Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach

Authors of this article:

Moo-Kwon Chung1 Author Orcid Image ;   Hyo-Sang Lim2 Author Orcid Image ;   Sang Yup Lee3 Author Orcid Image ;   Hyo Seok Baek4 Author Orcid Image ;   Jinhee Lee5 Author Orcid Image ;   Kyoung Joung Lee6 Author Orcid Image ;   Taeksoo Shin7 Author Orcid Image ;   Min-Hyuk Kim5 Author Orcid Image ;   Sangwon Hwang8 Author Orcid Image ;   Erdenebayar Urtnasan9 Author Orcid Image ;   Ji Young Park10 Author Orcid Image ;   Dan Hee Kwon11 Author Orcid Image ;   Jin-kyung Lee12 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .