Fwd: [grads] Tomorrow 4/6 10am Nigam Shah - Research Group Talk

[Haraldur Tómas Hallgrímsson]

Hi all,

A reminder for this talk tomorrow morning that may interest some of you: applying machine learning to healthcare.

It starts at 10am, but there'll be catering from 9:30am and a chance to talk to both Evidation Health people and the speaker.

Cheers,

Haraldur

---------- Forwarded message ----------
From: Jennifer Martin <jma...@cs.ucsb.edu>
Date: Tue, Apr 5, 2016 at 8:02 AM
Subject: [grads] Tomorrow 4/6 10am Nigam Shah - Research Group Talk
To: Typical faculty <fac...@lists.cs.ucsb.edu>, grads <gr...@lists.cs.ucsb.edu>, rese...@lists.cs.ucsb.edu, Lecturers <lect...@lists.cs.ucsb.edu>
Cc: Luca Foschini <luca.f...@gmail.com>

Singh Research Group Talk Sponsored by Evidation:

 

Wednesday April 6, 2016

9:30 Refreshments
10:00 - 11:00am

1132 Harold Frank Hall

 

 

Building a [machine] learning healthcare system

 

 

Nigam Shah (Stanford University)

                     

 

In the era of Electronic Health Records, it is possible to examine the outcomes of decisions made by doctors during clinical practice to identify patterns of care—generating evidence from the collective experience of patients. We will discuss methods that transform unstructured EHR data into a de-identified, temporally ordered, patient-feature matrix.  We will review use-cases, which use the resulting de-identified data, to discover hidden trends, build predictive models, and drive comparative effectiveness studies in a learning health system.

 

 

Dr. Nigam Shah is associate professor of Medicine (Biomedical Informatics) at Stanford University, Assistant Director of the Center for Biomedical Informatics Research, and a core member of the Biomedical Informatics Graduate Program. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable use cases of the learning health system. Dr. Shah received the AMIA New Investigator Award for 2013 and the Stanford Biosciences Faculty Teaching Award for outstanding teaching in his graduate class on “Data driven medicine”. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and is inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University. More at: https://med.stanford.edu/profiles/nigam-shah

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