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Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.
Du, Xinsong; Min, Jae; Shah, Chintan P; Bishnoi, Rohit; Hogan, William R; Lemas, Dominick J.
Afiliación
  • Du X; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Min J; Department of Epidemiology, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Shah CP; Division of Hematology and Oncology, Department of Medicine, University of Florida, Gainesville, FL, United States.
  • Bishnoi R; Division of Hematology and Oncology, Department of Medicine, University of Florida, Gainesville, FL, United States.
  • Hogan WR; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Lemas DJ; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States. Electronic address: djlemas@ufl.edu.
Int J Med Inform ; 139: 104140, 2020 07.
Article en En | MEDLINE | ID: mdl-32325370
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Mortalidad Hospitalaria / Máquina de Vectores de Soporte / Neutropenia Febril / Aprendizaje Automático / Hospitalización Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Mortalidad Hospitalaria / Máquina de Vectores de Soporte / Neutropenia Febril / Aprendizaje Automático / Hospitalización Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Int J Med Inform Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article