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Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease.
Genisca, Alicia E; Butler, Kelsey; Gainey, Monique; Chu, Tzu-Chun; Huang, Lawrence; Mbong, Eta N; Kennedy, Stephen B; Laghari, Razia; Nganga, Fiston; Muhayangabo, Rigobert F; Vaishnav, Himanshu; Perera, Shiromi M; Adeniji, Moyinoluwa; Levine, Adam C; Michelow, Ian C; Colubri, Andrés.
Afiliação
  • Genisca AE; The Warren Alpert School of Medicine, Brown University, Providence, Rhode Island, United States of America.
  • Butler K; University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America.
  • Gainey M; Rhode Island Hospital, Providence, Rhode Island, United States of America.
  • Chu TC; University of Georgia, Athens, Georgia, United States of America.
  • Huang L; Brown University, Providence, Rhode Island, United States of America.
  • Mbong EN; International Medical Corps, Goma, Democratic Republic of Congo.
  • Kennedy SB; Ministry of Health, Monrovia, Liberia.
  • Laghari R; International Medical Corps, Goma, Democratic Republic of Congo.
  • Nganga F; International Medical Corps, Goma, Democratic Republic of Congo.
  • Muhayangabo RF; International Medical Corps, Goma, Democratic Republic of Congo.
  • Vaishnav H; Brown Emergency Medicine, Providence, Rhode Island, United States of America.
  • Perera SM; International Medical Corps, Washington, Washington, United States of America.
  • Adeniji M; Brown University, Providence, Rhode Island, United States of America.
  • Levine AC; The Warren Alpert School of Medicine, Brown University, Providence, Rhode Island, United States of America.
  • Michelow IC; Connecticut Children's Medical Center, University of Connecticut School of Medicine, Hartford, Connecticut, United States of America.
  • Colubri A; University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America.
PLoS Negl Trop Dis ; 16(10): e0010789, 2022 10.
Article em En | MEDLINE | ID: mdl-36223331
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença pelo Vírus Ebola / Ebolavirus Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença pelo Vírus Ebola / Ebolavirus Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article