Aggregator: a machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial.

Journal: Methods (San Diego, Calif.)
Published Date: Nov 20, 2014

Abstract

OBJECTIVE: It is important to identify separate publications that report outcomes from the same underlying clinical trial, in order to avoid over-counting these as independent pieces of evidence.

Authors

  • Weixiang Shao
    Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60612, USA.
  • Clive E Adams
    Division of Psychiatry, University of Nottingham, Nottingham, UK.
  • Aaron M Cohen
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA 97239.
  • John M Davis
    Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612 USA.
  • Marian S McDonagh
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239 USA.
  • Sujata Thakurta
    Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.
  • Philip S Yu
    Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60612 USA.
  • 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.

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