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Electronic medical record phenotyping using the anchor and learn framework
Speaker:
David Sontag
, MIT CSAIL
Date: Wednesday, May 03, 2017
Time: 11:30 AM to 1:00 PM Note: all times are in the Eastern Time Zone
Refreshments: 11:15 AM
Public: Yes
Location: 32-G575
Event Type:
Room Description:
Host: Bonnie Berger
Contact: Patrice Macaluso, 617-253-3037, macaluso@csail.mit.edu
Speaker URL: None
Speaker Photo:
None
Reminders to:
bioinfo-seminar@lists.csail.mit.edu, seminars@csail.mit.edu, bergerlab-core@mit.edu
Reminder Subject:
TALK: Electronic medical record phenotyping using the anchor and learn framework
Electronic medical records (EMRs) hold a tremendous amount of information about patients that is relevant to determining the optimal
approach to patient care. As medicine becomes increasingly precise, a patientÂ’s electronic medical record phenotype will play an important
role in triggering clinical decision support systems that can deliver personalized recommendations in real time. In this talk, I introduce our recently developed "anchor and learn" framework for efficient lylearning statistically driven phenotypes with minimal manual intervention. Using this approach, we developed a phenotype library that uses both structured and unstructured data from the EMR to
represent patients for real-time clinical decision support. The resulting phenotypes are interpretable and fast to build. Evaluated in
an emergency department setting, we find that our semi-supervised learning approach (which uses no manually labeled data) performs comparably to supervised learning.
Based on joint work with Yoni Halpern and Steven Horng.
Research Areas:
Impact Areas:
Created by Patrice Macaluso at Thursday, April 20, 2017 at 11:41 AM.