Predicting Future Risk of Dementia Using Machine Learning and Longitudinal Electronic Health Records

We developed multiple machine learning models to predict the risk of dementia using EHR data from a large hospital system. Our findings highlight the potential of EHRs for early dementia diagnosis. These results should be validated further in additional hospital systems.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_103360
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Future Risk of Dementia Using Machine Learning and Longitudinal Electronic Health Records

Biqi Wang, Zehao Ye, Honghuang Lin, Amelia Zai
Alzheimer s & Dementia
Machine Learning in Healthcare
article

Predicting Future Risk of Dementia Using Machine Learning and Longitudinal Electronic Health Records

Biqi Wang, Zehao Ye, Honghuang Lin, Amelia Zai
article en

Abstract

We developed multiple machine learning models to predict the risk of dementia using EHR data from a large hospital system. Our findings highlight the potential of EHRs for early dementia diagnosis. These results should be validated further in additional hospital systems.

Alzheimer s & DementiaVol. 21(S2)
University of Massachusetts Chan Medical School (US)
Openalex Percentile: Top 18%
Machine Learning in Healthcare
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Predicting Future Risk of Dementia Using Machine Learning and Longitudinal Electronic Health Records — Biqi Wang, Zehao Ye, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS