Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume.

Journal: JAMA network open
Published Date: Nov 2, 2018

Abstract

IMPORTANCE: Forecasting the volume of hospital discharges has important implications for resource allocation and represents an opportunity to improve patient safety at periods of elevated risk.

Authors

  • Thomas H McCoy
    Center for Quantitative Health, Department of Psychiatry and Department of Medicine, Massachusetts General Hospital, Boston, MA. Electronic address: thmccoy@partners.org.
  • Amelia M Pellegrini
    Center for Quantitative Health, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
  • Roy H Perlis
    Center for Quantitative Health, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.

Keywords

External Resources

Popular Topics
Recent Journals