Towards a characterization of apparent contradictions in the biomedical literature using context analysis.

Journal: Journal of biomedical informatics
Published Date:

Abstract

BACKGROUND: With the substantial growth in the biomedical research literature, a larger number of claims are published daily, some of which seemingly disagree with or contradict prior claims on the same topics. Resolving such contradictions is critical to advancing our understanding of human disease and developing effective treatments. Automated text analysis techniques can facilitate such analysis by extracting claims from the literature, flagging those that are potentially contradictory, and identifying any study characteristics that may explain such contradictions.

Authors

  • Graciela Rosemblat
    Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, 8600 Rockville Pike, Bethesda, 20894, MD, USA.
  • Marcelo Fiszman
    Lister Hill National Center for Biomedical Communications U.S. National Library of Medicine Bethesda, MD.
  • Dongwook Shin
    National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA. Electronic address: shindongwoo@mail.nlm.nih.gov.
  • Halil Kilicoglu
    School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL 61820, United States.