Metabolic dysfunctions predict the development of Alzheimer's disease: Statistical and machine learning analysis of EMR data
Rex Liu,
Blythe Durbin‐Johnson,
Brian Paciotti
et al.
Abstract:INTRODUCTIONThe incidence of Alzheimer's disease (AD) and obesity rise concomitantly. This study examined whether factors affecting metabolism, race/ethnicity, and sex are associated with AD development.METHODSThe analyses included patients ≥ 65 years with AD diagnosis in six University of California hospitals between January 2012 and October 2023. The controls were race/ethnicity, sex, and age matched without dementia. Data analyses used the Cox proportional hazards model and machine learning (ML).RESULTSHisp… Show more
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