Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Feb 5, 2015

Abstract

OBJECTIVE: For many literature review tasks, including systematic review (SR) and other aspects of evidence-based medicine, it is important to know whether an article describes a randomized controlled trial (RCT). Current manual annotation is not complete or flexible enough for the SR process. In this work, highly accurate machine learning predictive models were built that include confidence predictions of whether an article is an RCT.

Authors

  • Aaron M Cohen
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA 97239.
  • Neil R Smalheiser
    Department of Psychiatry and Psychiatric Institute, University of Illinois College of Medicine, 1601 West Taylor Street, MC912, Chicago, IL 60612 neils@uic.edu +1-708-312-413-4581.
  • Marian S McDonagh
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239 USA.
  • Clement Yu
    Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60612 USA.
  • Clive E Adams
    Division of Psychiatry, University of Nottingham, Nottingham, UK.
  • John M Davis
    Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612 USA.
  • Philip S Yu
    Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60612 USA.

Keywords

External Resources

Popular Topics
Recent Journals