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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-11-01
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Series: | Systematic Reviews |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13643-020-01521-4 |