Technology-assisted risk of bias assessment in systematic reviews: a prospective cross-sectional evaluation of the RobotReviewer machine learning tool.

Journal: Journal of clinical epidemiology

Published Date: Dec 28, 2017

OBJECTIVES: To evaluate the reliability of RobotReviewer's risk of bias judgments.

Allison Gates

Alberta Research Centre for Health Evidence (ARCHE), Department of Pediatrics, University of Alberta, 4-472, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta T6G 1C9, Canada.
Ben Vandermeer

Alberta Research Centre for Health Evidence (ARCHE), Department of Pediatrics, University of Alberta, 4-472, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta T6G 1C9, Canada.
Lisa Hartling

Alberta Research Centre for Health Evidence (ARCHE), Department of Pediatrics, University of Alberta, 4-472, Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, Alberta T6G 1C9, Canada. Electronic address: hartling@ualberta.ca.

Bias Cross-Sectional Studies Humans Machine Learning Prospective Studies Reproducibility of Results Systematic Reviews as Topic Technology

View on PubMed Access via DOI PubMed (29289761)