Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features.

Journal: Journal of biomedical informatics
Published Date: Nov 22, 2018

Abstract

OBJECTIVES: Finding recent clinical studies that warrant changes in clinical practice ("high impact" clinical studies) in a timely manner is very challenging. We investigated a machine learning approach to find recent studies with high clinical impact to support clinical decision making and literature surveillance.

Authors

  • Jiantao Bian
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
  • Samir Abdelrahman
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
  • Jianlin Shi
    University of Utah, Salt Lake City, UT, USA.
  • Guilherme Del Fiol
    Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.

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