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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:EGEMS (Wash DC)
Κύριοι συγγραφείς: 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.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Ubiquity Press 2017
Θέματα:
Research
Διαθέσιμο Online: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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