Automated identification of older adults at risk for cognitive decline

Automated identification of older adults at risk for cognitive decline

Abstract INTRODUCTION Automated models that predict cognitive risk in older adults can aid decisions about which patients to screen in busy primary care settings. METHODS In this retrospective prediction model development study, we conducted formal cognitive testing on 337 older primary care patient...

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Main Authors: Darlene P. Floden, Olivia Hogue, Saket A. Saxena, Anita D. Misra‐Hebert, Alex Milinovich, Michael B. Rothberg, Elizabeth R. Pfoh, Robyn M. Busch, Kamini Krishnan, Robert J. Fox, Michael W. Kattan
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
decision support
dementia
early diagnosis
electronic health record
machine learning
mild cognitive impairment
Online Access:https://doi.org/10.1002/dad2.70136
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https://doi.org/10.1002/dad2.70136

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