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Predicting Kidney Transplant Recipient Cohorts' 30-Day Rehospitalization Using Clinical Notes and Electronic Health Care Record Data.
Arenson, Michael; Hogan, Julien; Xu, Liyan; Lynch, Raymond; Lee, Yi-Ting Hana; Choi, Jinho D; Sun, Jimeng; Adams, Andrew; Patzer, Rachel E.
Affiliation
  • Arenson M; Department of Surgery, Division of Transplantation, Emory University School of Medicine, Atlanta, Georgia, USA.
  • Hogan J; Department of Pediatrics, Child Health Equity Center, UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Xu L; Department of Surgery, Division of Transplantation, Emory University School of Medicine, Atlanta, Georgia, USA.
  • Lynch R; Department of Computer Science, Emory University, Atlanta, Georgia, USA.
  • Lee YH; Department of Surgery, Division of Transplantation, Emory University School of Medicine, Atlanta, Georgia, USA.
  • Choi JD; Department of Surgery, Division of Transplantation, Emory University School of Medicine, Atlanta, Georgia, USA.
  • Sun J; Department of Computer Science, Emory University, Atlanta, Georgia, USA.
  • Adams A; Department of Computer Science, University of Illinois, Urbana-Champaign, Champaign, Illinois, USA.
  • Patzer RE; Department of Surgery, Division of Transplantation, University of Minnesota, Minneapolis, Minnesota, USA.
Kidney Int Rep ; 8(3): 489-498, 2023 Mar.
Article in En | MEDLINE | ID: mdl-36938078
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Full text: 1 Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Kidney Int Rep Year: 2023 Type: Article Affiliation country: United States
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Full text: 1 Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Kidney Int Rep Year: 2023 Type: Article Affiliation country: United States