Subphenotyping depression using machine learning and electronic health records

Subphenotyping depression using machine learning and electronic health records

Abstract Objective To identify depression subphenotypes from Electronic Health Records (EHRs) using machine learning methods, and analyze their characteristics with respect to patient demographics, comorbidities, and medications. Materials and Methods Using EHRs from the INSIGHT Clinical Research Ne...

Full description

Bibliographic Details
Main Authors: Zhenxing Xu, Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Jennifer A. Pacheco, Luke V. Rasmussen, Jie Xu, George Alexopoulos, Jyotishman Pathak
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:Learning Health Systems
Subjects:
depression
electronic health records
machine learning
phenotyping
Online Access:https://doi.org/10.1002/lrh2.10241

Internet

https://doi.org/10.1002/lrh2.10241

Similar Items