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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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| Publicado no: | Syst Rev |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | 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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