Use of disease embedding technique to predict the risk of progression to end-stage renal disease-Reference-Cited by-同舟云学术

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Use of disease embedding technique to predict the risk of progression to end-stage renal disease

Published:2020-05 Issue: Volume:105 Page:103409
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Zhou Fang,Gillespie Avrum,Gligorijevic Djordje,Gligorijevic Jelena,Obradovic Zoran

Funder

NSFC-Henan Joint Fund

Natural Science Foundation of Shanghai

Pennsylvania Department of Health

National Institutes of Health

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference54 articles.

1. Mining electronic health records: towards better research applications and clinical care;Jensen;Nat. Rev. Genet.,2012

2. A predictive model for progression of chronic kidney disease to kidney failure;Tangri;JAMA,2011

3. Use of the kidney failure risk equation to determine the risk of progression to end-stage renal disease in children with chronic kidney disease;Winnicki;JAMA Pediatr.,2018

4. Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis;Perotte;J. Am. Med. Inform. Assoc.,2015

5. Low levels of urinary epidermal growth factor predict chronic kidney disease progression in children;Azukaitis;Kidney Int.,2019

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