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

• Main Authors: Jie Xu (Author), Fei Wang (Author), Zhenxing Xu (Author), Prakash Adekkanattu (Author), Pascal Brandt (Author), Guoqian Jiang (Author), Richard C. Kiefer (Author), Yuan Luo (Author), Chengsheng Mao (Author), Jennifer A. Pacheco (Author), Luke V. Rasmussen (Author), Yiye Zhang (Author), Richard Isaacson (Author), Jyotishman Pathak (Author)
• Format: Book
• Published: Wiley, 2020-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract 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...