Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain.

Journal: Pain medicine (Malden, Mass.)
Published Date: May 29, 2015

Abstract

BACKGROUND: Given their ability to process highly dimensional datasets with hundreds of variables, machine learning algorithms may offer one solution to the vexing challenge of predicting postoperative pain.

Authors

  • Patrick J Tighe
    Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.
  • Christopher A Harle
    Department of Health Services Research, Management and Policy, College of Public Health and Health Professions, Gainesville, Florida, USA.
  • Robert W Hurley
    Department of Anesthesiology, Translational Neuroscience, and Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, US.
  • Haldun Aytug
    Department of Information Systems and Operations Management, Warrington College of Business Administration, Gainesville, Florida, USA.
  • Andre P Boezaart
    Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.
  • Roger B Fillingim
    Department of Community Dentistry and Behavioral Science, University of Florida College of Dentistry, Gainesville, Florida, USA.

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