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

Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (114) Clinical Informatics (2253) Electronic Health Records (1718) Ontologies, Classifications, and Coding (437) Dementia and Cognitive Decline (877) Diagnostic Tools in Mental Health (437) Generative Language Models Including ChatGPT (1503) Foundation Models and Their Applications in AI (112)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65178, first published .
Alzheimer's disease brain scan with glowing neural pathways and data overlays.

Unsupervised Deep Learning of Electronic Health Records to Characterize Heterogeneity Across Alzheimer Disease and Related Dementias: Cross-Sectional Study

Unsupervised Deep Learning of Electronic Health Records to Characterize Heterogeneity Across Alzheimer Disease and Related Dementias: Cross-Sectional Study

Authors of this article:

Matthew West1 Author Orcid Image ;   You Cheng1 Author Orcid Image ;   Yingnan He1 Author Orcid Image ;   Yu Leng1 Author Orcid Image ;   Colin Magdamo1 Author Orcid Image ;   Bradley T Hyman1 Author Orcid Image ;   John R Dickson1 Author Orcid Image ;   Alberto Serrano-Pozo1 Author Orcid Image ;   Deborah Blacker1 Author Orcid Image ;   Sudeshna Das1 Author Orcid Image
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  2. Stern A, Linial M. Integrative machine learning approach to risk prediction for dementia and Alzheimer’s disease. GeroScience 2025;48(2):3007 View
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  7. Oishi K, Adams R, Nowrangi M, Zandi P, Lyketsos C. Utilizing routinely acquired clinical neuroimaging and electronic health record data to advance precision medicine in dementia care. International Review of Psychiatry 2026:1 View