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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
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