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Comorbidity patterns and sex differences in late-onset Alzheimer's disease using electronic records
In this retrospective study, we applied unsupervised learning techniques to electronic medical records from the University of California, San Francisco (UCSF) to characterize Alzheimer's disease (AD) comorbidity patterns. Given the well-known female predominance in AD, we performed sex-stratified an
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