DocumentCode :
3542996
Title :
Model-based optimal therapy for high-impact diseases
Author :
Kovacs, Levente ; Sapi, Johanna ; Ferenci, Tamas ; Szalay, Peter ; Drexler, Daniel Andras ; Eigner, Gyorgy ; Sas, P.I. ; Kiss, B. ; Harmati, Istvan ; Kozlovszky, Miklos ; Sapi, Zoltan
Author_Institution :
Obuda Univ., Budapest, Hungary
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
209
Lastpage :
214
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.
Keywords :
diseases; medical control systems; patient treatment; robust control; tumours; diabetes control; high-impact diseases; model-based optimal therapy; obesity biostatistical investigation; overweight-obesity relationship; physiological control; physiological modeling; robust control framework; tumor control; tumor growth model; Diabetes; Educational institutions; Medical treatment; Obesity; Public healthcare; Tumors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location :
San Jose
Print_ISBN :
978-1-4799-0828-8
Type :
conf
DOI :
10.1109/INES.2013.6632812
Filename :
6632812
Link To Document :
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