Your browser doesn't support javascript.
loading
Utilization of machine-learning models to accurately predict the risk for critical COVID-19.
Assaf, Dan; Gutman, Ya'ara; Neuman, Yair; Segal, Gad; Amit, Sharon; Gefen-Halevi, Shiraz; Shilo, Noya; Epstein, Avi; Mor-Cohen, Ronit; Biber, Asaf; Rahav, Galia; Levy, Itzchak; Tirosh, Amit.
Afiliação
  • Assaf D; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Gutman Y; Surgery C Department, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.
  • Neuman Y; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Segal G; Surgery C Department, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.
  • Amit S; The Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.
  • Gefen-Halevi S; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Shilo N; Corona Department and Internal Medicine "T", The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.
  • Epstein A; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Mor-Cohen R; Clinical Microbiology Laboratory, The Chaim Sheba Medical Center, Ramat Gan, Tel Hashomer, Israel.
  • Biber A; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Rahav G; Clinical Microbiology Laboratory, The Chaim Sheba Medical Center, Ramat Gan, Tel Hashomer, Israel.
  • Levy I; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Tirosh A; Corona Intensive Care Unit, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.
Intern Emerg Med ; 15(8): 1435-1443, 2020 Nov.
Article em En | MEDLINE | ID: mdl-32812204

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Infecções por Coronavirus / Medição de Risco / Aprendizado de Máquina Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Infecções por Coronavirus / Medição de Risco / Aprendizado de Máquina Idioma: En Ano de publicação: 2020 Tipo de documento: Article