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June 7, 2024Open Access

Predicting the onset of Alzheimer’s disease and related dementia using Electronic Health Records: Findings from the Cache County Study on Memory in Aging (1995–2008)

Karen C. Schliep Jeffrey Thornhill JoAnn T. Tschanz Julio C. Facelli Truls Østbye Michelle Sorweid Ken R. Smith Michael W. Varner Richard D. Boyce Christine J. Cliatt Brown Huong Meeks Samir Abdelrahman

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Abstract

Clinical notes, biomarkers, and neuroimaging have been proven valuable in dementia prediction models. Whether commonly available structured clinical data can predict dementia is an emerging area of research. We aimed to predict Alzheimer's disease (AD) and Alzheimer's disease related dementias (ADRD) in a well-phenotyped, population-based cohort using a machine learning approach.

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Schliep et al. (2024) studied this question.

synapsesocial.com/papers/68e65acab6db6435875e9cc6 https://doi.org/10.21203/rs.3.rs-4414498/v1

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