The semi-automation of title and abstract screening: a retrospective exploration of ways to leverage Abstrackr’s relevance predictions in systematic and rapid reviews

Abstract Background We investigated the feasibility of using a machine learning tool’s relevance predictions to expedite title and abstract screening. Methods We subjected 11 systematic reviews and six rapid reviews to four retrospective screening simulations (automated and semi-automated approaches...

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Hlavní autoři:	Allison Gates, Michelle Gates, Meghan Sebastianski, Samantha Guitard, Sarah A. Elliott, Lisa Hartling
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2020-06-01
Edice:	BMC Medical Research Methodology
Témata:	Systematic reviews Rapid reviews Machine learning Automation Efficiency
On-line přístup:	http://link.springer.com/article/10.1186/s12874-020-01031-w
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