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Modeling and optimal control strategies of diseases with high public health impact

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7 Author(s)
Kovacs, L. ; Budapest Univ. of Technol. & Econ., Budapest, Hungary ; Szalay, P. ; Ferenci, T. ; Drexler, D.A.
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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.

Published in:

Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on

Date of Conference:

23-25 June 2011