Screening for in vitro systematic reviews: a comparison of screening methods and training of a machine learning classifier

Objective: Existing strategies to identify relevant studies for systematic review may not perform equally well across research domains. We compare four approaches based on either human or automated screening of either title and abstract or full text, and report the training of a machine learning alg...

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Detalles Bibliográficos
Autores principales: Wilson, Emma, Cruz, Florenz, Maclean, Duncan, Ghanawi, Joly, McCann, Sarah K., Brennan, Paul M., Liao, Jing, Sena, Emily S., Macleod, Malcolm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2023
Materias:
Translational Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885807/
https://www.ncbi.nlm.nih.gov/pubmed/36630537
http://dx.doi.org/10.1042/CS20220594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885807/
https://www.ncbi.nlm.nih.gov/pubmed/36630537
http://dx.doi.org/10.1042/CS20220594

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