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

Machine Learning (2199) Digital Biomarkers and Digital Phenotyping (313) Decision Support for Health Professionals (1612) Dementia and Cognitive Decline (732) Ontologies, Classifications, and Coding (341) mHealth for Data Collection and Research (1237) New Methods (1169)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83622, first published .
Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Authors of this article:

Firas Al-Hindawi1, 2 Author Orcid Image ;   Teresa Wu3, 4 Author Orcid Image ;   Yutong Wen3, 4 Author Orcid Image ;   Peter Serhan5, 6 Author Orcid Image ;   Erica Forzani6, 7 Author Orcid Image ;   Francis Tsow8 Author Orcid Image ;   Yonas E Geda9 Author Orcid Image
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