Article

Comorbidity patterns and sex differences in late-onset Alzheimer’s disease using electronic records

2025-04-25

Abstract excerpt

<h4>Summary</h4> In this retrospective study, we applied unsupervised learning techniques to electronic medical records from UCSF to characterize Alzheimer’s disease comorbidity patterns. Given the well-known female predominance in Alzheimer’s disease, we performed sex-stratified analyses to explore differences in comorbidity patterns based on sex. Findings were evaluated using an independent UC-Wide dataset. Amo...

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Literature Corpus work: ebf472cf-f2e8-5620-9d2c-b99ae62983a5
DOI: 10.1101/2025.04.24.25326306

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