Using NLP on unstructured EHR for COVID-19 surveillance

We applied NLP pipeline and developed association analysis called ConceptWAS to track early symptoms for COVID-19

Machine learning using longitudinal EHR and genetic data to improve cardiovascular disease prediction

We developed machine learning and deep learning models to predict 10-year CVD risk using longitudinal EHR and genetic data.

Deep phenotyping using unsupervised machine learning

Applied a state-of-arts tensor factorization method to longitudinal EHR data