Uncertainty-aware deep learning in healthcare: A scoping review.

Loftus, Tyler J; Shickel, Benjamin; Ruppert, Matthew M; Balch, Jeremy A; Ozrazgat-Baslanti, Tezcan; Tighe, Patrick J; Efron, Philip A; Hogan, William R; Rashidi, Parisa; Upchurch, Gilbert R; Bihorac, Azra

Loftus, Tyler J; Shickel, Benjamin; Ruppert, Matthew M; Balch, Jeremy A; Ozrazgat-Baslanti, Tezcan; Tighe, Patrick J; Efron, Philip A; Hogan, William R; Rashidi, Parisa; Upchurch, Gilbert R; Bihorac, Azra.

Afiliação

Loftus TJ; Department of Surgery, University of Florida Health, Gainesville, Florida, United States of America.
Shickel B; Intelligent Critical Care Center, University of Florida, Gainesville, Florida, United States of America.
Ruppert MM; Department of Biomedical Engineering, University of Florida, Gainesville, Florida, United States of America.
Balch JA; Intelligent Critical Care Center, University of Florida, Gainesville, Florida, United States of America.
Ozrazgat-Baslanti T; Department of Medicine, University of Florida Health, Gainesville, Florida, United States of America.
Tighe PJ; Department of Surgery, University of Florida Health, Gainesville, Florida, United States of America.
Efron PA; Intelligent Critical Care Center, University of Florida, Gainesville, Florida, United States of America.
Hogan WR; Department of Medicine, University of Florida Health, Gainesville, Florida, United States of America.
Rashidi P; Departments of Anesthesiology, Orthopedics, and Information Systems/Operations Management, University of Florida Health, Gainesville, Florida, United States of America.
Upchurch GR; Department of Surgery, University of Florida Health, Gainesville, Florida, United States of America.
Bihorac A; Intelligent Critical Care Center, University of Florida, Gainesville, Florida, United States of America.

PLOS Digit Health ; 1(8)2022.

Article em En | MEDLINE | ID: mdl-36590140

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Idioma: En Revista: PLOS Digit Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

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