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Improving Prediction Accuracy of "Central Line-Associated Blood Stream Infections" Using Data Mining Models.
Noaman, Amin Y; Nadeem, Farrukh; Ragab, Abdul Hamid M; Jamjoom, Arwa; Al-Abdullah, Nabeela; Nasir, Mahreen; Ali, Anser G.
Afiliação
  • Noaman AY; Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Nadeem F; Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Ragab AHM; Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Jamjoom A; Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Al-Abdullah N; Clinical Epidemiology & Infection Control, Faculty of Nursing, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Nasir M; Department of Computer Science and Software Engineering, University of Hail, Hail, Saudi Arabia.
  • Ali AG; Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Biomed Res Int ; 2017: 3292849, 2017.
Article em En | MEDLINE | ID: mdl-29085836
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Infecções Relacionadas a Cateter / Mineração de Dados Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Infecções Relacionadas a Cateter / Mineração de Dados Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article