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Improving Sepsis Prediction by Developing Advanced Model

February 19, 2017 — 08:00AM EST - 04:30PM EST
Hyatt Regency Orlando
Session ID: 
PSP12

Description

Electronic sepsis detection is still suboptimal. By analyzing large quantities of patient data we have developed improved Sepsis detection and prediction models using advanced machine learning techniques. Real-time validation in a Medical Intensive Care Unit will be reported as well as lessons learned during the development process.

Learning Objectives: 

  • Explore problems with current sepsis detection algorithms
  • Understand the methods for surveillance algorithms validation
  • Learn challenges with cases detected as false positive and false negative

Audience: 

Physician, CMO, CMIO

WHERE THE BRIGHTEST MINDS

in health and IT meet.

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