Events Calendar

Predictive Modeling of Patient State and Therapy Optimization

Speaker: Zoran Obradovic, Director, Data Analytics and Biomedical Informatics Center, Professor, Computer and Information Sciences Department, Professor, Statistics Department, Fox School of Business (secondary appointment), Temple University

Talk Title: Predictive Modeling of Patient State and Therapy Optimization

Series: EE598 Seminar Course

Abstract: This talk will discuss the results of our ongoing DARPA DLT project aimed to develop and validate effective predictive modeling technology to achieve the following sepsis treatment related aims for acute inflammation on high dimensional and noisy data at a clinically relevant scale: (1) Personalized sepsis therapy optimization for an individual patient’s state improvement; (2) Early diagnosis of sepsis and accurate detection of change in the state of sepsis, and (3): Gene expression analysis for sepsis biomarkers identification. These aims are addressed by developing advanced methods for analysis of temporal dependencies in high dimensional multi-source sepsis related data, which show significant mortality reduction in severe sepsis patients.

This is joint research with Mohamed Ghalwash, Qiang Lou, Vladan Radosavljevic, Dusan Ramljak and Kosta Ristovski.

Biography: Zoran Obradovic’s research interests include data mining, machine learning and complex networks applications in climate modeling and health management. He is the executive editor at the journal on Statistical Analysis and Data Mining, which is the official publication of the American Statistical Association and is an editorial board member at eleven journals. He is general co-chair for 2013 and 2014 SIAM International Conference on Data Mining and was the program or track chair at many data mining and biomedical informatics conference. His data analytics work is published in more than 260 articles and is cited more than 10,000 times (H-index 41 and I10-index 86). For more details see http://www.dabi.temple.edu/~zoran/.

Host: Professor Cauligi S. Raghavendra

More Information: Course Announcement_EE598_Focused on parallel and distributed computing_(Spring 2013) 2.pdf

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Janice Thompson