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Prediction of chronic kidney disease progression using recurrent neural network and electronic health records.
Zhu, Yitan; Bi, Dehua; Saunders, Milda; Ji, Yuan.
Affiliation
  • Zhu Y; Computing, Environment and Life Sciences, Argonne National Laboratory, 9700 S Cass Ave, Lemont, IL, 60439, USA. yitan.zhu@anl.gov.
  • Bi D; Department of Public Health Sciences, The University of Chicago, 5841 South Maryland Ave, MC 2000, Chicago, IL, 60637, USA.
  • Saunders M; Department of Medicine, The University of Chicago, 5841 South Maryland Ave, MC 2007, Chicago, IL, 60637, USA.
  • Ji Y; Department of Public Health Sciences, The University of Chicago, 5841 South Maryland Ave, MC 2000, Chicago, IL, 60637, USA. yji@health.bsd.uchicago.edu.
Sci Rep ; 13(1): 22091, 2023 12 13.
Article in En | MEDLINE | ID: mdl-38086905
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Renal Insufficiency, Chronic / Electronic Health Records Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Renal Insufficiency, Chronic / Electronic Health Records Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom