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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.



Group information

Current Group: Lab members
On Boarding: New Lab members, For Collaborators
Internal (log in required): Lab information, Lab communication, Projects, Rotations, Archived pages
Contact: Nigam Shah

Teaching

Research

Answering clinical questions

Insights from data

Predictive Modeling

Selected Talks

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


Other talks

Seminars on campus

start.txt · Last modified: 2018/10/17 20:01 by nigam