Machine learning reduced workload for the Cochrane COVID-19 Study Register: development and evaluation of the Cochrane COVID-19 Study Classifier

BACKGROUND: This study developed, calibrated and evaluated a machine learning (ML) classifier designed to reduce study identification workload in maintaining the Cochrane COVID-19 Study Register (CCSR), a continuously updated register of COVID-19 research studies. METHODS: A ML classifier for retrie...

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Detalles Bibliográficos
Autores principales: Shemilt, Ian, Noel-Storr, Anna, Thomas, James, Featherstone, Robin, Mavergames, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783177/
https://www.ncbi.nlm.nih.gov/pubmed/35065679
http://dx.doi.org/10.1186/s13643-021-01880-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783177/
https://www.ncbi.nlm.nih.gov/pubmed/35065679
http://dx.doi.org/10.1186/s13643-021-01880-6

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