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Incorporating Laboratory Values Into a Machine Learning Model Improves In-Hospital Mortality Predictions After Rapid Response Team Call.
Reardon, Peter M; Parimbelli, Enea; Wilk, Szymon; Michalowski, Wojtek; Murphy, Kyle; Shen, Jennifer; Herritt, Brent; Gershkovich, Benjamin; Tanuseputro, Peter; Kyeremanteng, Kwadwo.
Afiliação
  • Reardon PM; Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Parimbelli E; Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Wilk S; Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.
  • Michalowski W; Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.
  • Murphy K; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.
  • Shen J; Telfer School of Management, University of Ottawa, Ottawa, ON, Canada.
  • Herritt B; Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Gershkovich B; Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Tanuseputro P; Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Kyeremanteng K; Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
Crit Care Explor ; 1(7): e0023, 2019 Jul.
Article em En | MEDLINE | ID: mdl-32166265
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article