Extracting Deep Phenotypes for Chronic Kidney Disease Using Electronic Health Records

INTRODUCTION: As chronic kidney disease (CKD) is among the most prevalent chronic diseases in the world with various rate of progression among patients, identifying its phenotypic subtypes is important for improving risk stratification and providing more targeted therapy and specific treatments for...

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Detalhes bibliográficos
Publicado no:EGEMS (Wash DC)
Main Authors: Luong, Duc Thanh Anh, Tran, Dinh, Pace, Wilson D., Dickinson, Miriam, Vassalotti, Joseph, Carroll, Jennifer, Withiam-Leitch, Matthew, Yang, Min, Satchidanand, Nikhil, Staton, Elizabeth, Kahn, Linda S., Chandola, Varun, Fox, Chester H.
Formato: Artigo
Idioma:Inglês
Publicado em: Ubiquity Press 2017
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5983069/
https://ncbi.nlm.nih.gov/pubmed/29930957
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5334/egems.226
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