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

Internet

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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