Improving reference prioritisation with PICO recognition.

Journal: BMC medical informatics and decision making
Published Date: Dec 5, 2019

Abstract

BACKGROUND: Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study characteristics, which include the PICO elements of patient/population, intervention, comparator, and outcomes. The latter requires techniques for identifying and categorising fragments of text, known as named entity recognition.

Authors

  • Austin J Brockmeier
  • Meizhi Ju
    College of Biomedical Engineering and Instrument Science, Zhejiang University, The Key Laboratory of Biomedical Engineering, Ministry of Education, Hangzhou, China.
  • Piotr Przybyła
    National Centre for Text Mining, School of Computer Science, University of Manchester, Manchester, UK.
  • Sophia Ananiadou

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