Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.

Journal: International journal of medical informatics
Published Date: Apr 15, 2020

Abstract

BACKGROUND: Febrile neutropenia (FN) has been associated with high mortality among adults with cancer. Current systems for early detection of inpatient FN mortality are based on scoring indexes that require intensive physicians' subjective evaluation.

Authors

  • Xinsong Du
    Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Jae Min
    Department of Epidemiology, College of Medicine & College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
  • Chintan P Shah
    Division of Hematology and Oncology, Department of Medicine, University of Florida, Gainesville, FL, United States.
  • Rohit Bishnoi
    Division of Hematology and Oncology, Department of Medicine, University of Florida, Gainesville, FL, United States.
  • William R Hogan
    Department of Health Outcomes and Biomedical Informatics.
  • Dominick J Lemas
    Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States. Electronic address: djlemas@ufl.edu.

Keywords

External Resources

Popular Topics
Recent Journals