We use machine learning, text-mining, and prior knowledge in medical ontologies to enable the learning health system. Our research group is part of the Center for Biomedical Informatics Research at Stanford. We analyze longitudinal EHR data, including unstructured data, to answer clinical questions, generate insights, and build predictive models. See our work in the news or watch this short video to learn more about our research:
Answering clinical questions:
Insights from data:
Current Group: Lab members
Open Positions: none
Data Science Fellow, Health Services Research Postdoctoral Fellow, Informatics Postdoctoral Fellow
Internal (log in required): Lab information, Projects, Rotations, Archived pages
On Boarding: New Lab members, For Collaborators
BIOMEDIN 215 Data Driven Medicine Autumn quarter of each year
Medicine in the Age of Electronic Health Records, at KDD 2014 in New York.
Using Electronic Health Records for Better Care, for SCPD at Stanford.
Invited talk at NIPS 2015, Workshop on Machine Learning For Healthcare.
Building a Machine Learning Healthcare System, at the Parc Forum.
Performing an Informatics Consult, at the 2016 Big Data meeting at Stanford.