Accessibility settings

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

Machine Learning (2222) eHealth Literacy / Digital Literacy (567) Advanced Data Analytics in eHealth (235) Mobile Health (mhealth) (3631) Health Literacy, Health Numeracy, and Numeracy (52) Assessing and Building eHealth / Digital Literacy in Populations (69) Equity and Digital Divide (412)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86171, first published .
Explainable Machine Learning for Assessing Digital Health Literacy in Older Adults: Validation and Development of a Two-Stage Model Integrating Performance-Based and Self-Assessed Indicators

Explainable Machine Learning for Assessing Digital Health Literacy in Older Adults: Validation and Development of a Two-Stage Model Integrating Performance-Based and Self-Assessed Indicators

Explainable Machine Learning for Assessing Digital Health Literacy in Older Adults: Validation and Development of a Two-Stage Model Integrating Performance-Based and Self-Assessed Indicators

Authors of this article:

Choonghee Park1 Author Orcid Image ;   Jiyeon Park2 Author Orcid Image ;   Seora Kim1 Author Orcid Image ;   Ye Seul Bae3, 4 Author Orcid Image ;   Jae-Heon Kang4 Author Orcid Image ;   Tae-Min Kim1, 2 Author Orcid Image ;   Ji-Won Chun1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Choonghee Park   1 , MA ;   Jiyeon Park   2 , MA ;   Seora Kim   1 , MA ;   Ye Seul Bae   3, 4 , MD, PhD ;   Jae-Heon Kang   4 , MD, PhD ;   Tae-Min Kim   1, 2 , MD, PhD ;   Ji-Won Chun   1, 2 , PhD

1 Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Seoul, Republic of Korea

2 The Catholic Medical Center Institute for Basic Medical Science, The Catholic University of Korea Catholic Medical Center, Seoul, Republic of Korea

3 Big Data Research Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

4 Department of Family Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Ji-Won Chun, PhD
  • Department of Medical Informatics
  • College of Medicine
  • The Catholic University of Korea
  • 222 Banpo-daero, Seocho-gu
  • Seoul, Seoul 06591
  • Republic of Korea
  • Phone: 82 3147-9727
  • Email: jwchun@catholic.ac.kr