Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error

BACKGROUND: Here, we outline a method of applying existing machine learning (ML) approaches to aid citation screening in an on-going broad and shallow systematic review of preclinical animal studies. The aim is to achieve a high-performing algorithm comparable to human screening that can reduce huma...

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:Syst Rev
Autores principales: Bannach-Brown, Alexandra, Przybyła, Piotr, Thomas, James, Rice, Andrew S. C., Ananiadou, Sophia, Liao, Jing, Macleod, Malcolm Robert
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2019
Materias:
Methodology
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6334440/
https://ncbi.nlm.nih.gov/pubmed/30646959
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13643-019-0942-7
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares