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

Artificial Intelligence (2162) Registered Report (800) Dementia and Cognitive Decline (703) Machine Learning (2095) Loneliness and Social Isolation (147) Preventing Social Isolation and Fostering Social Interactions in Old Age (125) Ecological Momentary Assessment (EMA) (412) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2145)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69379, first published .
Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

Authors of this article:

Bada Kang1, 2 Author Orcid Image ;   Min Kyung Park1 Author Orcid Image ;   Jennifer Ivy Kim1 Author Orcid Image ;   Seolah Yoon3 Author Orcid Image ;   Seok-Jae Heo4 Author Orcid Image ;   Chaeeun Kang5 Author Orcid Image ;   SungHee Lee6 Author Orcid Image ;   Yeonkyu Choi6 Author Orcid Image ;   Dahye Hong1, 7 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Bada Kang   1, 2 , PhD ;   Min Kyung Park   1 , PhD ;   Jennifer Ivy Kim   1 , PhD ;   Seolah Yoon   3 , MSN ;   Seok-Jae Heo   4 , PhD ;   Chaeeun Kang   5 , BSN ;   SungHee Lee   6 , PhD ;   Yeonkyu Choi   6 , MS ;   Dahye Hong   1, 7 , MPH

1 Mo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, Seoul, Republic of Korea

2 Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea

3 Department of Nursing, Graduate School of Yonsei University, Seoul, Republic of Korea

4 Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea

5 Department of Nursing, Yonsei University College of Nursing, Seoul, Republic of Korea

6 BRFrame Inc, Seoul, Republic of Korea

7 College of Nursing and Brain Korea 21 FOUR Project, Yonsei University, Seoul, Republic of Korea

Corresponding Author:

  • Dahye Hong, MPH
  • College of Nursing and Brain Korea 21 FOUR Project
  • Yonsei University
  • 50-1, Yonsei-ro, Seodaemun-gu
  • Seoul 03722
  • Republic of Korea
  • Phone: 82 1031084963
  • Email: dahye@yuhs.ac