Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

OBJECTIVES: This study developed, calibrated, and evaluated a machine learning classifier designed to reduce study identification workload in Cochrane for producing systematic reviews. METHODS: A machine learning classifier for retrieving randomized controlled trials (RCTs) was developed (the “Cochr...

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Detalles Bibliográficos
Autores principales: Thomas, James, McDonald, Steve, Noel-Storr, Anna, Shemilt, Ian, Elliott, Julian, Mavergames, Chris, Marshall, Iain J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168828/
https://www.ncbi.nlm.nih.gov/pubmed/33171275
http://dx.doi.org/10.1016/j.jclinepi.2020.11.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168828/
https://www.ncbi.nlm.nih.gov/pubmed/33171275
http://dx.doi.org/10.1016/j.jclinepi.2020.11.003

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