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Risk prediction of mild cognitive impairment using electronic health record data.

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第一作者： Gang,Li

第一单位： Global Medical Affairs Eisai Inc. Nutley New Jersey USA.

作者： Gang,Li ^[1] ; Bryan,Cobb ^[1] ; Todd M,Nelson ^[1] ; Viswanath,Devanarayan ^[1] ; Stephane,Borentain ^[1] ; Michelle M,Mielke ^[2] ; James E,Galvin ^[3] ; Miia,Kivipelto ^[4] ; Rifky,Tkatch ^[1] ; Susan,De Santi ^[1] ; Feride,Frech ^[1] ; Jo,Vandercappellen ^[1] ; Yosuke,Nakamura ^[1] ; Richard,Crislip ^[5] ; Jeffrey,Meyerhoff ^[6] ; Soeren,Mattke ^[7] ; Harald,Hampel ^[1]

作者单位： Global Medical Affairs Eisai Inc. Nutley New Jersey USA. ^[1] Department of Epidemiology and Prevention Wake Forest University School of Medicine Winston-Salem North Carolina USA. ^[2] Comprehensive Center for Brain Health, Department of Neurology University of Miami Miller School of Medicine Miami Florida USA. ^[3] Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society Karolinska Institute Stockholm Sweden. ^[4] Department of Behavioral Health OptumCare Phoenix Arizona USA. ^[5] Department of Whole Health Behavioral Health Solutions Optum Behavioral Health Eden Prairie Minnesota USA. ^[6] Center for Economic and Social Research University of Southern California Los Angeles California USA. ^[7]

关键词 Alzheimer's disease cognitive decline cognitive impairment deep learning dementia electronic health record data machine learning mild cognitive impairment predictive algorithm predictive modeling predictive tool risk prediction

DOI 10.1002/dad2.70209

PMID 41306115

发布时间 2025-11-29

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Risk prediction of mild cognitive impairment using electronic health record data.

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Risk prediction of mild cognitive impairment using electronic health record data.

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