This is a front-end for our machine learning model that identifies reports of randomized controlled articles (RCTs). We have extensively validated the recall and precision of this model, as described in our Research Synthesis Methods publication, Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide.
Please cite this paper if you use the tool in published work:
IJ Marshall, A Noel‐Storr, J Kuiper, J Thomas, BC Wallace. Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide. Res Syn Meth. 2018;1–12. https://doi.org/10.1002/jrsm.1287
This work is supported by: the NIH/NLM grant R01-LM012086-01A1, NIH/NCI grant 5UH2CA203711-02, and also by the UK Medical Research Council (MRC), through its Skills Development Fellowship program, grant MR/N015185/1.