Citations alone were enough to predict favorable conclusions in reviews of neuraminidase inhibitors.

Journal: Journal of clinical epidemiology
Published Date: Oct 22, 2014

Abstract

OBJECTIVES: To examine the use of supervised machine learning to identify biases in evidence selection and determine if citation information can predict favorable conclusions in reviews about neuraminidase inhibitors.

Authors

  • Xujuan Zhou
    Centre for Health Informatics, Australian Institute of Health Innovation, The University of New South Wales, Sydney, NSW 2052, Australia.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Guy Tsafnat
    Centre for Health Informatics, Australian Institute of Health Innovation, The University of New South Wales, Sydney, NSW 2052, Australia.
  • Enrico Coiera
    1Australian Institute of Health Innovation, Macquarie University, Level 6 75 Talavera Rd, Sydney, NSW 2109 Australia.
  • Florence T Bourgeois
    Harvard-MIT Center for Regulatory Science, Harvard Medical School, Boston, MA, United States.
  • Adam G Dunn
    Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, NSW, Australia.

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