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Machine-learning Prognostic Models from the 2014-16 Ebola Outbreak: Data-harmonization Challenges, Validation Strategies, and mHealth Applications.
Colubri, Andres; Hartley, Mary-Anne; Siakor, Matthew; Wolfman, Vanessa; Felix, August; Sesay, Tom; Shaffer, Jeffrey G; Garry, Robert F; Grant, Donald S; Levine, Adam C; Sabeti, Pardis C.
Afiliação
  • Colubri A; Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, USA.
  • Hartley MA; Broad Institute of MIT and Harvard, Cambridge, USA.
  • Siakor M; Howard Hughes Medical Institute, Chevy Chase, USA.
  • Wolfman V; University of Lausanne, Faculty of Biology and Medicine, Lausanne, Switzerland.
  • Felix A; GOAL Global, Dublin, Ireland.
  • Sesay T; International Medical Corps, Los Angeles, USA.
  • Shaffer JG; International Medical Corps, Los Angeles, USA.
  • Garry RF; Broad Institute of MIT and Harvard, Cambridge, USA.
  • Grant DS; Ministry of Health and Sanitation, Freetown, Sierra Leone.
  • Levine AC; Tulane University, School of Public Health and Tropical Medicine, New Orleans, USA.
  • Sabeti PC; Tulane University, Department of Microbiology and Immunology, New Orleans, USA.
EClinicalMedicine ; 11: 54-64, 2019.
Article em En | MEDLINE | ID: mdl-31312805
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article