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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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You are invited to join us for a technical lecture of the IEEE Signal Processing Chapter of Atlanta. The chapter is honored to host Dr. Shamim Nemati from Emory University. Dr. Nemati is an Assistant Professor at the Emory Department of Biomedical Informatics and he will present a lecture titled:
From Prediction of Life Threatening Events to Optimization of Treatment Strategies: An Overture to a Continuously Learning Healthcare System
This meeting is part of the annual Signal Processing Seminar Series.
Abstract
Clinical medical decision-making is an imperfect science influenced by numerous factors including: incomplete knowledge of critical care physiology and varied patient response to standard of care. Most patient care protocols are derived from population-based studies that often rely on low-dimensional and static patient phenotypes. As an example, we consider the problem of early prediction and treatment of Sepsis; the leading causes of morbidity and mortality in critically ill patients and the most expensive condition by healthcare spending. The major tenet of sepsis care is prompt recognition and initiation of treatment, however, no clinically validated system exists for accurate, real-time prediction of sepsis onset, and considerable controversies remain concerning the effectiveness of various treatment options for septic patients. In this talk, I will discuss how modern signal processing and machine learning tools in association with clinical big data can be adopted to improve early prediction of sepsis and design effective treatment strategies.
