How Good Is Machine Learning in Predicting All-Cause 30-Day Hospital Readmission? Evidence From Administrative Data.

Journal: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Published Date:

Abstract

OBJECTIVES: Hospital readmission is a main cost driver for healthcare systems, but existing works often had poor or moderate predictive results. Although the available information differs in different studies, improving prediction is different from the search for important explanatory variables. With large sample size and abundant information, this study explores state-of-the-art machine-learning algorithms and shows their performance in prediction.

Authors

  • Qing Li
    Department of Internal Medicine, University of Michigan Ann Arbor, MI 48109, USA.
  • Xueqin Yao
    The Innovation Research Team on Eco-Logistics, Industrial Agglomeration and Regional Development, School of Economics and Management, Xinjiang University, Urumqi, China.
  • Damien Échevin
    Research Center, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada; Department of Economics, Université Laval, Quebec City, Canada; Apexmachina, Quebec, Canada. Electronic address: damien.echevin@usherbrooke.ca.