@techreport{6a8c018477fc4f6280ed613a8a0689f6,
title = "Artificial intelligence supports literature screening in medical guideline development: towards up-to-date medical guidelines",
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",
author = "Wouter Harmsen and {de Groot}, Janke and Albert Harkema and {van Dusseldorp}, Ingeborg and {De Bruin}, Jonathan and {Van den Brand}, Sofie and {Van de Schoot}, Rens",
year = "2021",
month = jun,
day = "25",
doi = "10.5281/ZENODO.5031907",
language = "English",
pages = "1--18",
publisher = "Zenodo",
type = "WorkingPaper",
institution = "Zenodo",
}