Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.
Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make this process more efficient via a hybrid approach using both crowdsourcing and ML.
Author(s): Wallace, Byron C, Noel-Storr, Anna, Marshall, Iain J, Cohen, Aaron M, Smalheiser, Neil R, Thomas, James
DOI: 10.1093/jamia/ocx053