Trevor Cohen

This paper introduces aer2vec, a representation learning method for adverse event reporting system data to identify drug/side-effect associations, showing improved performance over traditional disproportionality metrics.

The paper applies ESP embeddings to predict drug-drug interactions, showing better performance, faster training, and simplicity compared to graph convolutional neural networks.