Subphenotyping depression using machine learning and electronic health records

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 Network (...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Learn Health Syst
Main Authors: Xu, Zhenxing, Wang, Fei, Adekkanattu, Prakash, Bose, Budhaditya, Vekaria, Veer, Brandt, Pascal, Jiang, Guoqian, Kiefer, Richard C., Luo, Yuan, Pacheco, Jennifer A., Rasmussen, Luke V., Xu, Jie, Alexopoulos, George, Pathak, Jyotishman
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2020
Assuntos:
Research Reports
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7556423/
https://ncbi.nlm.nih.gov/pubmed/33083540
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/lrh2.10241
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados