Identifying Probable Dementia in Undiagnosed Black and White Americans Using Machine Learning in Veterans Health Administration Electronic Health Records

Identifying Probable Dementia in Undiagnosed Black and White Americans Using Machine Learning in Veterans Health Administration Electronic Health Records

The application of natural language processing and machine learning (ML) in electronic health records (EHRs) may help reduce dementia underdiagnosis, but models that are not designed to reflect minority populations may instead perpetuate underdiagnosis. To improve the identification of undiagnosed d...

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Bibliografiska uppgifter
Huvudupphovsmän: Yijun Shao, Kaitlin Todd, Andrew Shutes-David, Steven P. Millard, Karl Brown, Amy Thomas, Kathryn Chen, Katherine Wilson, Qing T. Zeng, Debby W. Tsuang
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2023-10-01
Serie:Big Data and Cognitive Computing
Ämnen:
electronic health record
dementia
machine learning
underdiagnosis
Veterans Health Administration
Länkar:https://www.mdpi.com/2504-2289/7/4/167

Internet

https://www.mdpi.com/2504-2289/7/4/167

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