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. 2019 May 8;19:96. doi: 10.1186/s12911-019-0814-z

Fig. 1.

Fig. 1

A schematic of our approach to automated risk of bias prediction and supportive rationale extraction. This is an ensemble composed of two models that we have described at length elsewhere: a linear kernel multi-task SVM variant (MT-SVM; bottom) [10], and a rationale-augmented CNN (RA-CNN; top-k) [11]