Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning

Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning

Background As part of our ongoing systematic review of complex interventions for the primary prevention of cardiovascular diseases, we have developed and evaluated automated machine-learning classifiers for title and abstract screening. The aim was to develop a high-performing algorithm comparable t...

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Bibliographic Details
Main Authors: Olalekan A Uthman, Rachel Court, Jodie Enderby, Lena Al-Khudairy, Chidozie Nduka, Hema Mistry, GJ Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke
Format: Article
Language:English
Published: NIHR Journals Library 2022-11-01
Series:Health Technology Assessment
Subjects:
text classification
reducing workload
machine learning
Online Access:https://doi.org/10.3310/UDIR6682
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https://doi.org/10.3310/UDIR6682

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