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Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study.
Roimi, Michael; Gutman, Rom; Somer, Jonathan; Ben Arie, Asaf; Calman, Ido; Bar-Lavie, Yaron; Gelbshtein, Udi; Liverant-Taub, Sigal; Ziv, Arnona; Eytan, Danny; Gorfine, Malka; Shalit, Uri.
Afiliación
  • Roimi M; Department of Critical Care Medicine, Rambam Health Care Campus, Haifa, Israel.
  • Gutman R; Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel.
  • Somer J; Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel.
  • Ben Arie A; Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
  • Bar-Lavie Y; Department of Critical Care Medicine, Rambam Health Care Campus, Haifa, Israel.
  • Gelbshtein U; Division of General Medicine, Medical Directorate, Israel Ministry of Health, Jerusalem, Israel.
  • Liverant-Taub S; Division of General Medicine, Medical Directorate, Israel Ministry of Health, Jerusalem, Israel.
  • Ziv A; Gertner Institute for Epidemiology and Health Policy Research, Chaim Sheba Medical Center, Tel HaShomer, Israel.
  • Eytan D; Pediatric Intensive Care, Rambam Health Care Campus, Haifa, Israel.
  • Gorfine M; Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
  • Shalit U; Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.
J Am Med Inform Assoc ; 28(6): 1188-1196, 2021 06 12.
Article en En | MEDLINE | ID: mdl-33479727
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Aprendizaje Automático / COVID-19 / Hospitalización Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Israel
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Aprendizaje Automático / COVID-19 / Hospitalización Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Israel