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:
Online Access:https://doi.org/10.1186/s13643-020-01521-4