Explainable machine learning to identify risk factors for unplanned hospital readmissions in Nova Scotian hospitals.

Journal: Computers in biology and medicine
PMID: 40147186

Abstract

OBJECTIVE: A report from the Canadian Institute for Health Information found unplanned hospital readmissions (UHR) common, costly, and potentially avoidable, estimating a $1.8 billion cost to the Canadian healthcare system associated with inpatient readmissions within 30 days of discharge for the studied period (11 months). The first step towards addressing this costly problem is enabling early detection of patients at risk through detecting UHR risk factors.

Authors

  • Mariano Maisonnave
    Management Science Department, Shannon School of Business, Cape Breton University, 1250 Grand Lake Rd, Sydney, B1M 1A2, NS, Canada. Electronic address: mariano_maisonnave@cbu.ca.
  • Enayat Rajabi
    Cape Breton University, Sydney, NS, Canada.
  • Majid Taghavi
    Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom.
  • Peter Vanberkel
    Department of Industrial Engineering, Dalhousie University, 5269 Morris Street, Halifax, B3H 4R2, NS, Canada. peter.vanberkel@dal.ca.

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