3 papers
cs.AI2020
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures
Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff +4
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular management. This study evaluated the potential to extract these symptoms from physician…
cs.LG2020
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas, Srideepika Jayaraman, Dhaval Patel +2
In this work we propose for the first time a transformer-based framework for unsupervised representation learning of multivariate time series. Pre-trained models can be potentially…
cs.LG2020
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings
Yuanfei Dai, Chenhao Guo, Wenzhong Guo +1
Interaction between pharmacological agents can trigger unexpected adverse events. Capturing richer and more comprehensive information about drug-drug interactions (DDI) is one of t…