The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study

The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study

Highlights Machine learning (ML) tools for evidence synthesis now exist, but little is known about whether they lead to decreased resource use and time-to-completion of reviews. We propose a protocol to systematically measure any resource savings of using machine learning to produce evidence synthes...

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Bibliographic Details
Main Authors: Ashley Elizabeth Muller, Rigmor C. Berg, Jose Francisco Meneses-Echavez, Heather M. R. Ames, Tiril C. Borge, Patricia Sofia Jacobsen Jardim, Chris Cooper, Christopher James Rose
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Systematic Reviews
Subjects:
Systematic review
Machine learning
Artificial intelligence
Research waste
Business process management
Online Access:https://doi.org/10.1186/s13643-023-02171-y

Internet

https://doi.org/10.1186/s13643-023-02171-y

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