Systematic review using a spiral approach with machine learning

Abstract With the accelerating growth of the academic corpus, doubling every 9 years, machine learning is a promising avenue to make systematic review manageable. Though several notable advancements have already been made, the incorporation of machine learning is less than optimal, still relying on...

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Bibliographic Details
Main Authors: Amirhossein Saeidmehr, Piers David Gareth Steel, Faramarz F. Samavati
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Systematic Reviews
Subjects:
Online Access:https://doi.org/10.1186/s13643-023-02421-z