Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records

Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records

Abstract Background Conducting a systematic review demands a significant amount of effort in screening titles and abstracts. To accelerate this process, various tools that utilize active learning have been proposed. These tools allow the reviewer to interact with machine learning software to identif...

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Bibliographic Details
Main Authors: Gerbrich Ferdinands, Raoul Schram, Jonathan de Bruin, Ayoub Bagheri, Daniel L. Oberski, Lars Tummers, Jelle Jasper Teijema, Rens van de Schoot
Format: Article
Language:English
Published: BMC 2023-06-01
Series:Systematic Reviews
Subjects:
Systematic reviews
Active learning
Screening prioritization
Machine learning
Data mining
Computer simulation
Online Access:https://doi.org/10.1186/s13643-023-02257-7

Internet

https://doi.org/10.1186/s13643-023-02257-7

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