An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes

Abstract Background Systematic reviews often require substantial resources, partially due to the large number of records identified during searching. Although artificial intelligence may not be ready to fully replace human reviewers, it may accelerate and reduce the screening burden. Using Distiller...

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Detalles Bibliográficos

Principais autores:	C. Hamel, S. E. Kelly, K. Thavorn, D. B. Rice, G. A. Wells, B. Hutton
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2020-10-01
Series:	BMC Medical Research Methodology
Assuntos:	Artificial intelligence Systematic reviews Rapid reviews Prioritization Automation Natural language processing
Acceso en liña:	http://link.springer.com/article/10.1186/s12874-020-01129-1
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