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Machine learning to assist clinical decision-making during the COVID-19 pandemic.
Debnath, Shubham; Barnaby, Douglas P; Coppa, Kevin; Makhnevich, Alexander; Kim, Eun Ji; Chatterjee, Saurav; Tóth, Viktor; Levy, Todd J; Paradis, Marc D; Cohen, Stuart L; Hirsch, Jamie S; Zanos, Theodoros P.
Afiliação
  • Debnath S; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY USA.
  • Barnaby DP; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY USA.
  • Coppa K; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY USA.
  • Makhnevich A; Department of Information Services, Northwell Health, NYC Metro Area, NY USA.
  • Kim EJ; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY USA.
  • Chatterjee S; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY USA.
  • Tóth V; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY USA.
  • Levy TJ; Cardiology, Long Island Jewish Medical Center and Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY USA.
  • Paradis MD; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY USA.
  • Cohen SL; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY USA.
  • Hirsch JS; Holdings and Ventures, Northwell Health, Manhasset, NY USA.
  • Zanos TP; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY USA.
Bioelectron Med ; 6: 14, 2020.
Article em En | MEDLINE | ID: mdl-32665967

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Bioelectron Med Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Bioelectron Med Ano de publicação: 2020 Tipo de documento: Article