Model-based optimal therapy for high-impact diseases

L. Kovacs, J. Sapi, T. Ferenci, P. Szalay, D. A. Drexler, Gy Eigner, P. I. Sas, B. Kiss, I. Harmati, M. Kozlovszky, Z. Sapi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The current paper represents a continuation of the conference papers presented at the INES 2011 and 2012 conferences. A brief summary of the newest results in the field of physiological modeling and control are presented focusing on high public health impact diseases: diabetes, tumor and obesity. In the case of diabetes control, preliminary model-free results of the developed robust control framework is presented, while in the case of tumor control we have started to create a new tumor growth model based on clinical experiments. In the case of biostatistical investigation of obesity, new aspects of relationship between overweight/obesity and laboratory results was examined.

Original languageEnglish
Title of host publicationINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings
Pages209-214
Number of pages6
DOIs
Publication statusPublished - Dec 12 2013
Event17th IEEE International Conference on Intelligent Engineering Systems, INES 2013 - San Jose, Costa Rica
Duration: Jun 19 2013Jun 21 2013

Publication series

NameINES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other17th IEEE International Conference on Intelligent Engineering Systems, INES 2013
CountryCosta Rica
CitySan Jose
Period6/19/136/21/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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    Kovacs, L., Sapi, J., Ferenci, T., Szalay, P., Drexler, D. A., Eigner, G., Sas, P. I., Kiss, B., Harmati, I., Kozlovszky, M., & Sapi, Z. (2013). Model-based optimal therapy for high-impact diseases. In INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (pp. 209-214). [6632812] (INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings). https://doi.org/10.1109/INES.2013.6632812