Machine Learning Applied to Routinely Collected Health Administrative Data.

Journal: Healthcare quarterly (Toronto, Ont.)
Published Date:

Abstract

There has been considerable growth in the development of machine learning algorithms for clinical applications. The authors survey recent machine learning models developed with the use of large health administrative databases at ICES and highlight three areas of ongoing development that are particularly important for health system applications.

Authors

  • Laura C Rosella
    Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada laura.rosella@utoronto.ca.
  • Vinyas Harish
    V. Harish is a fourth-year MD-PhD student, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; ORCID: https://orcid.org/0000-0001-6364-2439 .