CAML & DR-CAML The Convolutional Attention network for Multi-Label classification (CAML) was proposed by <cite>Mullenbach et al. (2018)</cite> . It has achieved the state-of-theart results on the MIMIC-III and MIMIC-II datasets among the models using unstructured text. It consists of one convolutional layer and one attention layer to generate label-aware features for multi-label classification (McCallum 1999). The Description Regularized CAML (DR-CAML) is an extension of CAML and incorporates the text description of each code to regularize the model.