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

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

Abstract 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, evalu...

Full description

Bibliographic Details
Main Authors: Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace, Iain J. Marshall
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Medical Informatics and Decision Making
Online Access:http://link.springer.com/article/10.1186/s12911-019-0814-z

Internet

http://link.springer.com/article/10.1186/s12911-019-0814-z

Similar Items