We analyze multiple data types (EHR, Claims, Wearables, Weblogs, and Patient blogs), to answer clinical questions, generate insights, and build predictive models at the Stanford Center for Biomedical Informatics Research. We use machine learning, text-mining, and prior knowledge in medical ontologies to enable the learning health system.
Keeping the Human in the Loop for Equitable and Fair Use of ML in Healthcare, at AIMiE 2018
Building a Machine Learning Healthcare System, at XLDB 2018
Performing an Informatics Consult, Grand rounds in Medicine at Stanford, Feb 1 2017