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Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions.
Hinson, Jeremiah S; Klein, Eili; Smith, Aria; Toerper, Matthew; Dungarani, Trushar; Hager, David; Hill, Peter; Kelen, Gabor; Niforatos, Joshua D; Stephens, R Scott; Strauss, Alexandra T; Levin, Scott.
Affiliation
  • Hinson JS; Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. hinson@jhmi.edu.
  • Klein E; Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA. hinson@jhmi.edu.
  • Smith A; Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Toerper M; Center for Disease Dynamics, Economics & Policy, Washington, DC, USA.
  • Dungarani T; Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Hager D; Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
  • Hill P; Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Kelen G; Department of Medicine, Howard County General Hospital, Columbia, MD, USA.
  • Niforatos JD; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Stephens RS; Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Strauss AT; Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Levin S; Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
NPJ Digit Med ; 5(1): 94, 2022 Jul 16.
Article in En | MEDLINE | ID: mdl-35842519
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: NPJ Digit Med Year: 2022 Type: Article Affiliation country: United States
Fulltext
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: NPJ Digit Med Year: 2022 Type: Article Affiliation country: United States