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Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study

OBJECTIVE: Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), an open-source machine learning (ML) system, semi-automates bias assessments. We conducted a user study of RobotReviewer, evaluating ti...

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Detalles Bibliográficos
Autores principales:	Soboczenski, Frank, Trikalinos, Thomas A., Kuiper, Joël, Bias, Randolph G., Wallace, Byron C., Marshall, Iain J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505190/ https://www.ncbi.nlm.nih.gov/pubmed/31068178 http://dx.doi.org/10.1186/s12911-019-0814-z

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