Model-based control algorithms for optimal therapy of high-impact public health diseases

L. Kovács, P. Szalay, T. Ferenci, J. Sápi, P. Sas, D. A. Drexler, I. Harmati, B. Benyó, A. Kovács

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

5 Citations (Scopus)

Abstract

The current paper represents a continuation of the conference paper presented at the INES 2011 conference. It summarizes the updated results of research tasks in the field of physiological modeling and control of diseases with high public health impact carried out by the Biomedical Engineering Laboratory of the Budapest University of Technology and Economics. The developed and presented optimal algorithms and strategies focus on three cases: blood glucose control in case of the artificial pancreas problem, tight glycaemic control under intensive care and optimal antiangiogenic therapy in the treatment of cancerous tumor.

Original languageEnglish
Title of host publicationINES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings
Pages531-536
Number of pages6
DOIs
Publication statusPublished - Oct 1 2012
EventIEEE 16th International Conference on Intelligent Engineering Systems, INES 2012 - Lisbon, Portugal
Duration: Jun 13 2012Jun 15 2012

Publication series

NameINES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings

Other

OtherIEEE 16th International Conference on Intelligent Engineering Systems, INES 2012
CountryPortugal
CityLisbon
Period6/13/126/15/12

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Kovács, L., Szalay, P., Ferenci, T., Sápi, J., Sas, P., Drexler, D. A., Harmati, I., Benyó, B., & Kovács, A. (2012). Model-based control algorithms for optimal therapy of high-impact public health diseases. In INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings (pp. 531-536). [6249892] (INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings). https://doi.org/10.1109/INES.2012.6249892