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

Machine Learning (3222) Mobile Health (mhealth) (5210) eHealth Literacy / Digital Literacy (888) Advanced Data Analytics in eHealth (356) Equity and Digital Divide (523) Assessing and Building eHealth / Digital Literacy in Populations (103) Health Literacy, Health Numeracy, and Numeracy (84)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86171, first published .
Elderly woman and nurse review ML-based health assessment on tablet

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 (2) Tweetations (5) Metrics

Journals

  1. Rehman T, Jarrett P, Lesko J, Augustine J, Shy B, Sangal R, Genes N, Apakama D, Abbott E, Mehrotra A, Taylor R. An Evidence-Based Framework for Patient-Facing Artificial Intelligence Integration in the Emergency Department. JACEP Open 2026;7(5):100466 View
  2. Xu M, Sun Q, Chen Q, Xia Y. eHealth literacy in older patients with cardiovascular disease: latent profile analysis and associated factors. Frontiers in Public Health 2026;14 View