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...

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Bibliografiske detaljer
Udgivet i:Syst Rev
Main Authors: Bannach-Brown, Alexandra, Przybyła, Piotr, Thomas, James, Rice, Andrew S. C., Ananiadou, Sophia, Liao, Jing, Macleod, Malcolm Robert
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2019
Fag:
Methodology
Online adgang: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
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