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Model-Based Disease Treatment: A Control Engineering Approach

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Advances in Soft Computing, Intelligent Robotics and Control

Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 8))

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Abstract

Computer engineering opens new ways in healthcare including a more exact treatment possibility of different diseases. By modeling the disease and using control engineering methods it is possible to refine the treatment, but also to seek for optimal solutions/therapies. The current work summarizes the results of model-based disease treatment researches in the field of physiological modeling and control carried out at the Physiological Controls Group of the Obuda University. The developed and presented optimal algorithms and strategies focus on three diseases with high public health impact: diabetes (the artificial pancreas problem), obesity (predicting obesity-related risks) and cancer (antiangiogenic therapy). The studies are done in strong collaboration with different Hungarian hospitals, from where measurement data were obtained.

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Authors and Affiliations

  1. John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary

    Levente Kovács

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  1. Levente Kovács
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Correspondence to Levente Kovács .

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Editors and Affiliations

  1. Institute of Applied Mathematics, Óbuda University, Budapest, Hungary

    János Fodor

  2. Department of Applied Mathematics, John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary

    Robert Fullér

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Kovács, L. (2014). Model-Based Disease Treatment: A Control Engineering Approach. In: Fodor, J., Fullér, R. (eds) Advances in Soft Computing, Intelligent Robotics and Control. Topics in Intelligent Engineering and Informatics, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-05945-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-05945-7_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05944-0

  • Online ISBN: 978-3-319-05945-7

  • eBook Packages: EngineeringEngineering (R0)

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