Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 33479727

Abstract

OBJECTIVE: The spread of coronavirus disease 2019 (COVID-19) has led to severe strain on hospital capacity in many countries. We aim to develop a model helping planners assess expected COVID-19 hospital resource utilization based on individual patient characteristics.

Authors

  • Michael Roimi
    Department of Critical Care Medicine, Rambam Health Care Campus, Haifa, Israel.
  • Rom Gutman
    Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel.
  • Jonathan Somer
    Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel.
  • Asaf Ben Arie
    Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
  • Ido Calman
  • Yaron Bar-Lavie
    Department of Critical Care Medicine, Rambam Health Care Campus, Haifa, Israel.
  • Udi Gelbshtein
    Division of General Medicine, Medical Directorate, Israel Ministry of Health, Jerusalem, Israel.
  • Sigal Liverant-Taub
    Division of General Medicine, Medical Directorate, Israel Ministry of Health, Jerusalem, Israel.
  • Arnona Ziv
    Gertner Institute for Epidemiology and Health Policy Research, Chaim Sheba Medical Center, Tel HaShomer, Israel.
  • Danny Eytan
    Pediatric Intensive Care, Rambam Health Care Campus, Haifa, Israel.
  • Malka Gorfine
    Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
  • Uri Shalit
    Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Technion City, Haifa 3200003, Israel.

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