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

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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Bibliographic Details
Main Authors: Allison Gates, Michelle Gates, Meghan Sebastianski, Samantha Guitard, Sarah A. Elliott, Lisa Hartling
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Research Methodology
Subjects:
Systematic reviews
Rapid reviews
Machine learning
Automation
Efficiency
Online Access:http://link.springer.com/article/10.1186/s12874-020-01031-w

Internet

http://link.springer.com/article/10.1186/s12874-020-01031-w

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