deep learning

Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder

In 2019, The Centers for Medicare and Medicaid Services (CMS) launched an Artificial Intelligence (AI) Health Outcomes Challenge seeking solutions to predict risk in value-based care for incorporation into CMS Innovation Center payment and service …

Reg2Vec: A Spatial Mapping of Economic Regulation

In this study, we use word and document embedding techniques from natural language processing to contextualize policymaking in U.S. federal agencies. We specifically look at a range of agencies responsible for economic regulation and train a model …

Creating Anime Characters with a DCGAN

Training a DCGAN to generate anime character faces

Fed2Vec

Developing a word and document embedding model for speeches by the Federal Reserve