Machine learning for screening prioritization in systematic reviews: comparative performance of Abstrackr and EPPI-Reviewer

摘要

Screening prioritization and potential reduced screening burden. This figure demonstrates graphically how screening prioritization works. Prior to screening, the articles ultimately included are randomly dispersed (top half). Reviewers train the algorithm by manually including/excluding studies until a pre-specified number of studies are included. The algorithm then generalizes rules and prioritizes the remaining studies for evaluation by the reviewer