Innovative machine learning as a positive driver for digital disruption through automation in systematic review management: a review of available tools and their utilisation in Australia
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Date
2020
Authors
McQuillen, S.
Anandasivam, K.
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Conference paper
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Proceedings of the VALA2020: Libraries, technology and the future, 2020, pp.1-16
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VALA2020: Libraries, technology and the future (11 Feb 2020 - 13 Feb 2020 : Melbourne, Victoria)
Abstract
Librarians at the University of South Australia (UniSA) investigated systematic review (SR) software that incorporate machine learning technologies. The aim was to compare the capabilities of the University's current tool 'Covidence' with alternatives used in Australia, to improve efficiencies during SR workflows. Quantitative and qualitative methods were used to identify over 180 tools, many designed to accelerate a single task only. Covidence and 'Distiller' were found to offer the broadest range of features. As Covidence has been more widely adopted by Australian libraries, the authors conclude that ongoing access to Covidence is useful for cross-institutional SR conduct in Australia.
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Copyright 2019 The author(s). This work is licensed under a Creative Commons Attribution-Non Commercial License (https://creativecommons.org/licenses/by-nc/4.0/)