PICO entity extraction for preclinical animal literature.

Journal: Systematic reviews
Published Date: Sep 30, 2022

Abstract

BACKGROUND: Natural language processing could assist multiple tasks in systematic reviews to reduce workflow, including the extraction of PICO elements such as study populations, interventions, comparators and outcomes. The PICO framework provides a basis for the retrieval and selection for inclusion of evidence relevant to a specific systematic review question, and automatic approaches to PICO extraction have been developed particularly for reviews of clinical trial findings. Considering the difference between preclinical animal studies and clinical trials, developing separate approaches is necessary. Facilitating preclinical systematic reviews will inform the translation from preclinical to clinical research.

Authors

  • Qianying Wang
    Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
  • Jing Liao
    State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Mirella Lapata
    Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh.
  • Malcolm Macleod
    Centre for Clinical Brain Sciences, University of Edinburgh, Scotland, UK.

Keywords

External Resources

Popular Topics
Recent Journals