Artificial intelligence supports literature screening in medical guideline development: towards up-to-date medical guidelines
Publication date
2021-06-25
Authors
Harmsen, Wouter
de Groot, Janke
Harkema, Albert
van Dusseldorp, Ingeborg
de Bruin, Jonathan
van den Brand, Sofie
Van de Schoot, R.
Editors
Advisors
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Document Type
/dk/atira/pure/researchoutput/researchoutputtypes/workingpaper/preprint
Metadata
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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.
Keywords
guideline development, medical guidelines, text data, natural language processing, active learning, machine learning, systematic reviewing
Citation
Harmsen, W, de Groot, J, Harkema, A, van Dusseldorp, I, De Bruin, J, Van den Brand, S & Van de Schoot, R 2021 'Artificial intelligence supports literature screening in medical guideline development: towards up-to-date medical guidelines' Zenodo, pp. 1-18. https://doi.org/10.5281/ZENODO.5031907