Statistical stopping criteria for automated screening in systematic reviews

Statistical stopping criteria for automated screening in systematic reviews

Abstract Active learning for systematic review screening promises to reduce the human effort required to identify relevant documents for a systematic review. Machines and humans work together, with humans providing training data, and the machine optimising the documents that the humans screen. This...

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Bibliographic Details
Main Authors: Max W Callaghan, Finn Müller-Hansen
Format: Article
Language:English
Published: BMC 2020-11-01
Series:Systematic Reviews
Subjects:
Systematic review
Machine learning
Active learning
Stopping criteria
Online Access:https://doi.org/10.1186/s13643-020-01521-4

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