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Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records

INTRODUCTION: We sought to assess longitudinal electronic health records (EHRs) using machine learning (ML) methods to computationally derive probable Alzheimer's Disease (AD) and related dementia subphenotypes. METHODS: A retrospective analysis of EHR data from a cohort of 7587 patients seen a...

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Detalles Bibliográficos
Autores principales:	Xu, Jie, Wang, Fei, Xu, Zhenxing, Adekkanattu, Prakash, Brandt, Pascal, Jiang, Guoqian, Kiefer, Richard C., Luo, Yuan, Mao, Chengsheng, Pacheco, Jennifer A., Rasmussen, Luke V., Zhang, Yiye, Isaacson, Richard, Pathak, Jyotishman
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2020
Materias:	Research Reports
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556420/ https://www.ncbi.nlm.nih.gov/pubmed/33083543 http://dx.doi.org/10.1002/lrh2.10246

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