Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE

BACKGROUND: Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requirements to explicitly identify the design as cluster randomized in titles and abstracts, making retrieval from bibliographic databases difficult. Machine...

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Detalles Bibliográficos
Autores principales: Al-Jaishi, Ahmed A., Taljaard, Monica, Al-Jaishi, Melissa D., Abdullah, Sheikh S., Thabane, Lehana, Devereaux, P. J., Dixon, Stephanie N., Garg, Amit X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594883/
https://www.ncbi.nlm.nih.gov/pubmed/36284336
http://dx.doi.org/10.1186/s13643-022-02082-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594883/
https://www.ncbi.nlm.nih.gov/pubmed/36284336
http://dx.doi.org/10.1186/s13643-022-02082-4

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