Artificial intelligence supports literature screening in medical guideline development: towards up-to-date medical guidelines

Wouter Harmsen, Janke de Groot, Albert Harkema, Ingeborg van Dusseldorp, Jonathan De Bruin, Sofie Van den Brand, Rens Van de Schoot

Research output: Working paperPreprintAcademic

Abstract

In a time of exponential growth of new evidence supporting clinical decision making, combined with a labor-intensive process of selecting this evidence, there is a need for methods to speed up current processes in order to keep medical guidelines up-to-date. The purpose of this study was to evaluate the performance and feasibility of active learning to support the selection of relevant publications within the context of medical guideline development.
Original languageEnglish
PublisherZenodo
Pages1-18
DOIs
Publication statusPublished - 25 Jun 2021

Keywords

  • guideline development
  • medical guidelines
  • text data
  • natural language processing
  • active learning
  • machine learning
  • systematic reviewing

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