We analyze multiple types of health data (EHR, Claims, Wearables, Weblogs, and Patient blogs), to answer clinical questions, generate insights, and build predictive models for the learning health system. Read more ...
About us: Lab members
Internal (log in required): New Lab members, Lab information, Lab communication, Projects, Rotations, For Collaborators, Archived pages
Teaching: BIOMEDIN 215 Autumn quarter of each year, AI in Healthcare Bootcamp
Selected talks and videos:
Supporting clinical decision making at the bedside.
Informatics Consult Service at Stanford.
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, April 30 2018
Performing an Informatics Consult, Feb 1 2017