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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

Moo-Kwon Chung   1 * , PhD ;   Hyo-Sang Lim   2 * , PhD ;   Sang Yup Lee   3 * , PhD ;   Hyo Seok Baek   4 , BSc ;   Jinhee Lee   5 , MD ;   Kyoung Joung Lee   6 , PhD ;   Taeksoo Shin   7 , PhD ;   Min-Hyuk Kim   5 , MD ;   Sangwon Hwang   8 , PhD ;   Erdenebayar Urtnasan   9 , PhD ;   Ji Young Park   10 , PhD ;   Dan Hee Kwon   11 , BSc ;   Jin-kyung Lee   12 , PhD

1 Department of Global Public Administration, Yonsei University Mirae Campus, Wonju, Republic of Korea

2 Division of Software, Yonsei University Mirae Campus, Wonju, Republic of Korea

3 Department of Communication, Yonsei University Sinchon Campus, Seoul, Republic of Korea

4 Department of Computer Science, Yonsei University Mirae Campus, Wonju, Republic of Korea

5 Department of Psychiatry, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

6 Office of the President, Songho University, Hoengseong, Gangwon-do, Republic of Korea

7 Department of Business Administration, Yonsei University Mirae Campus, Wonju, Republic of Korea

8 Department of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

9 Division of AI Semiconductor, Yonsei University Mirae Campus, Wonju, Republic of Korea

10 Department of Social Welfare, Sangji University, Wonju, Republic of Korea

11 Department of Health Administration, Yonsei University Mirae Campus, Wonju, Republic of Korea

12 Health IT Center, Gachon University Gil Hospital, Incheon, Republic of Korea

*these authors contributed equally

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