TY  - CHAP
AU  - Kovács, Levente
AU  - Szalay, Péter
AU  - Ferenci, Tamás
AU  - Drexler, Dániel András
AU  - Sápi, Johanna
AU  - Harmati, István
AU  - Benyó, Zoltán
ED  - IEEE, null
TI  - Modeling and Optimal Control Strategies of Diseases with High Public Health Impact
T2  - Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
PB  - IEEE Press
CY  - New York, New York
SN  - 9781424489541
PY  - 2011
SP  - 23
EP  - 28
PG  - 6
DO  - 10.1109/INES.2011.5954713
UR  - https://m2.mtmt.hu/api/publication/2150935
ID  - 2150935
N1  - Conference code: 86075            
            Cited By :10            
            Export Date: 28 June 2021            
            Correspondence Address: Kovács, L.; Budapest University of Technology and Economics, Budapest, Hungary; email: lkovacs@iit.bme.hu
AB  - This paper summarizes the 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 diseases with high public health impact diabetes (the question of artificial pancreas), obesity (predicting obesity-related risks) and cancer (antiangiogenic chemotherapy). The studies are done together with different Hungarian hospitals, from where measurement data were obtained.
LA  - English
DB  - MTMT
ER  -