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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983069/
https://www.ncbi.nlm.nih.gov/pubmed/29930957
http://dx.doi.org/10.5334/egems.226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983069/
https://www.ncbi.nlm.nih.gov/pubmed/29930957
http://dx.doi.org/10.5334/egems.226

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