Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records

BACKGROUND: Conducting a systematic review demands a significant amount of effort in screening titles and abstracts. To accelerate this process, various tools that utilize active learning have been proposed. These tools allow the reviewer to interact with machine learning software to identify releva...

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Detalles Bibliográficos
Autores principales: Ferdinands, Gerbrich, Schram, Raoul, de Bruin, Jonathan, Bagheri, Ayoub, Oberski, Daniel L., Tummers, Lars, Teijema, Jelle Jasper, van de Schoot, Rens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280866/
https://www.ncbi.nlm.nih.gov/pubmed/37340494
http://dx.doi.org/10.1186/s13643-023-02257-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280866/
https://www.ncbi.nlm.nih.gov/pubmed/37340494
http://dx.doi.org/10.1186/s13643-023-02257-7

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