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    • ST1 - Ambient Assisted Living based on IoT Technologies
    • ST2 - Social data and medical data analytics
    • ST3 - Immersive Personalized Patient Engagement; Computer Based Medical Intervention Systems
    • ST4 - Computer-aided and robotic endoscopy systems
    • ST5 - Empowering Patients with Cancer through Connected Health
    • ST6 - Biomedical Imaging and Signal Processing tools for Cardiac Arrhythmias: Diagnosis, Treatment Planning and Therapy Delivery
    • ST7 - MultiModal Interfaces for Natural Human Computer Interaction: Theory and Applications
    • ST8- Biological Network Analysis in Computational Biology and Biomedicine
    • ST9 - Cloud Security and Data Privacy by Design
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Zoran Obradovic
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Zoran Obradovic's picture

Zoran Obradovic

Temple University (USA)
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Zoran Obradovic an Academician at the Academia Europaea (the Academy of Europe) and a Foreign Academician at the Serbian Academy of Sciences and Arts. He is a L.H. Carnell Professor of Data Analytics at Temple University, Professor in the Department of Computer and Information Sciences with a secondary appointment in Department of Statistical Science, and is the Director of the Center for Data Analytics and Biomedical Informatics. His research interests include data science and information networks analytics in complex decision support systems. Zoran has served as chair/co-chair for many data science conferences and is currently the program co-chair for 2017 IEEE Big Data Conference. 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. His work is published in more than 350 articles and is cited more than 18,000 times (H-index 51). His research is currently funded by 3 DARPA, 3 NSF, ONR and industry grants. His most recent DARPA THOR project started in June 2016 is aimed to understand why some host organisms are tolerant to pathogenic infection, and to uncover which biological mechanisms are responsible for their resilience. This $9.9M multi-institutional interdisciplinary effort includes investigators from Harvard Medical School, the Mayo Clinic, Temple University, Tufts University, and Boston Children's Hospital. For more details see http://www.dabi.temple.edu/~zoran/

Presentations

Session Title Presentation
GT3 Decision Support and Recommendation Systems

Predicting Sepsis Biomarker Progression under Therapy

Friday, June 23, 2017 - 09:00 to 10:30
Nothing yet
ST2 - Social data and medical data analytics

Disease-Based Clustering of Hospital Admission: Disease Network of Hospital Networks Approach

Saturday, June 24, 2017 - 09:00 to 11:00
Nothing yet

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© 30th International Symposium on Computer-Based Medical Systems - CBMS 2017
AUTH Research Dissemination Center
June 22-24, 2017 Thessaloniki - Greece
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