A focus on cross-purpose tools, automated recognition of study design in multiple disciplines, and evaluation of automation tools: a summary of significant discussions at the fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR).

Autor: O'Connor AM; College of Veterinary Medicine, Iowa State University, 1800 Christensen Drive, Ames, IA, 50011-1134, USA. oconnor@iastate.edu.; Present Address: College of Veterinary Medicine, Michigan State University, East Lansing, MI, 48824, USA. oconnor@iastate.edu., Glasziou P; Bond University, Robina, Queensland, 4226, Australia., Taylor M; US Environmental Protection Agency, Research Triangle Park, NC, 27709, USA., Thomas J; EPPI-Centre, University College London, London, WC1E 6BT, UK., Spijker R; Cochrane Netherlands, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, University Utrecht, Utrecht, the Netherlands.; Medical Library, Amsterdam Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands., Wolfe MS; US National Institute of Environmental Health Sciences, Research Triangle Park, Raleigh, NC, 27709, USA.
Jazyk: angličtina
Zdroj: Systematic reviews [Syst Rev] 2020 May 04; Vol. 9 (1), pp. 100. Date of Electronic Publication: 2020 May 04.
DOI: 10.1186/s13643-020-01351-4
Abstrakt: The fourth meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 5-6 November 2019 in The Hague, the Netherlands. ICASR is an interdisciplinary group whose goal is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. The group seeks to facilitate the development and acceptance of automated techniques for systematic reviews. In 2018, the major themes discussed were the transferability of automation tools (i.e., tools developed for other purposes that might be used by systematic reviewers), the automated recognition of study design in multiple disciplines and applications, and approaches for the evaluation of automation tools.
Databáze: MEDLINE
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