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A Comprehensive Investigation of Machine Learning Practices in Predictive Modeling of Alzheimer’s Disease and Related Dementias using Multisite Real-world Electronic Health Records

2025-12-04

Abstract excerpt

The irreversible progression and profound societal impact of Alzheimer’s disease and related dementias (AD/ADRD) underscore the pressing need for early risk prediction. Machine learning (ML) models integrated with electronic health records (EHRs) offer promising solutions for generating real-world evidence, yet their clinical utility for AD/ADRD remains unclear, both in terms of whether they can be reliably applie...

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Literature Corpus work
3bfe3e36-9c5f-5935-ab76-bb53670e9665
DOI
10.64898/2025.11.30.25341312
Open publication

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A Comprehensive Investigation of Machine Learning Practices in Predictive Modeling of Alzheimer’s Disease and Related Dementias using Multisite Real-world Electronic Health RecordsDOI 10.64898/2025.11.30.25341312
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