高公共卫生影响疾病的建模与最优控制策略

L. Kovács, P. Szalay, T. Ferenci, D. Drexler, Johanna Sápi, I. Harmati, Z. Benyó
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引用次数: 17

摘要

本文总结了布达佩斯科技与经济大学生物医学工程实验室在具有重大公共卫生影响的疾病的生理建模和控制领域开展的研究任务的结果。所开发和提出的最优算法和策略侧重于三种具有高公共卫生影响的疾病:糖尿病(人工胰腺问题)、肥胖(预测肥胖相关风险)和癌症(抗血管生成化疗)。这些研究是与不同的匈牙利医院一起完成的,从那里获得了测量数据。
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Modeling and optimal control strategies of diseases with high public health impact
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.
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