A real-world evaluation of the implementation of NLP technology in abstract screening of a systematic review
Sign Up to like & getrecommendations! Published in 2022 at "Research synthesis methods"
DOI: 10.1101/2022.02.24.22268947
Abstract: The laborious and time-consuming nature of systematic reviews hinders the dissemination of up-to-date evidence synthesis. Well-performing natural language processing (NLP) for systematic reviews have been developed, showing promise to improve efficiency. However, the feasibility and… read more here.
Keywords: tool; abstract screening; real world; systematic review ... See more keywords
Decoding semi-automated title-abstract screening: findings from a convenience sample of reviews
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DOI: 10.1186/s13643-020-01528-x
Abstract: Background We evaluated the benefits and risks of using the Abstrackr machine learning (ML) tool to semi-automate title-abstract screening and explored whether Abstrackr’s predictions varied by review or study-level characteristics. Methods For a convenience sample… read more here.
Keywords: abstract screening; title abstract; sample reviews; study ... See more keywords