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Predicting hospital-onset Clostridium difficile using patient mobility data: A network approach.
Bush, Kristen; Barbosa, Hugo; Farooq, Samir; Weisenthal, Samuel J; Trayhan, Melissa; White, Robert J; Noyes, Ekaterina I; Ghoshal, Gourab; Zand, Martin S.
  • Bush K; Rochester Center for Health Informatics at the University of Rochester Medical Center, Rochester, New York.
  • Barbosa H; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, New York.
  • Farooq S; Department of Physics and Astronomy, University of Rochester, Rochester, New York.
  • Weisenthal SJ; Rochester Center for Health Informatics at the University of Rochester Medical Center, Rochester, New York.
  • Trayhan M; Rochester Center for Health Informatics at the University of Rochester Medical Center, Rochester, New York.
  • White RJ; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, New York.
  • Noyes EI; Rochester Center for Health Informatics at the University of Rochester Medical Center, Rochester, New York.
  • Ghoshal G; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, New York.
  • Zand MS; Rochester Center for Health Informatics at the University of Rochester Medical Center, Rochester, New York.
Infect Control Hosp Epidemiol ; 40(12): 1380-1386, 2019 12.
Article en En | MEDLINE | ID: mdl-31656216

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Infección Hospitalaria / Transferencia de Pacientes / Infecciones por Clostridium / Susceptibilidad a Enfermedades Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Infección Hospitalaria / Transferencia de Pacientes / Infecciones por Clostridium / Susceptibilidad a Enfermedades Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article