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In this paper, a fractional-order model of hepatitis C virus (HCV) with inhibition due to infection is studied. Based on the basic reproduction number, backward bifurcation of such model is investigated under some conditions. When the efficacy of interferon-α therapy is low, it is shown that the phenomenon of backward bifurcation will appear in the model. It means that there coexist disease-free and...
In this work we present a decision support tool for the calculation of time-dependent survival probability for patients after ventricular assist device implantation. Two different models have been developed, a short term one which predicts survival for the first three months and a long term one that predicts survival for one year after implantation. In order to model the time dependencies between...
In this work, we propose a model of the coronary circulation based on hydraulic/electric analogy. This model aims to provide quantitative estimations of the distribution of flows and pressures across the coronary network for patients with stenoses of the left main coronary artery, left anterior descending artery and left circumflex branch, and chronic occlusion of the right coronary artery, undergoing...
Summary form only given. Increasing prevalence of lifestyle-related health risks and chronic diseases, coupled with limited resources in the healthcare system, calls for citizen-centric health promotion and disease prevention measures as well as new care models for management of chronic diseases. As a future scenario emphasis of the health care should gradually shift from treating and managing of...
In this paper, we show how evolutionary game theory can be embedded into a traditional optimal control framework in order to predict strategies for time-dependent drug dosages in the context of a growing pathogen population that exhibits the capacity to evolve in direct response to the level of applied drug. To illustrate our method for integrating evolutionary games with optimal control systems,...
The segment parameters (SP) consisting of inertia and position of the center of mass of each segment, of the human body are crucial data when one wants investigate motion dynamics. The segment parameters vary with time according to immobilization, physical training, rehabilitation, muscular diseases. This knowledge provides valuable information to support medical diagnosis and to quantify the effect...
In this paper, we present a health care system which can diagnose chronic diseases such as metabolic syndrome. In case of chronic invalids health information has to be check periodically, causing major inconvenience to the patient. In this paper, we propose an automatic diagnostic method for detecting metabolic syndrome, by utilizing a collaborative community computing approach in conjunction with...
Recently developed models of the interaction of the human immune system and the human immunodeficiency virus (HIV) suggest the possibility of using interruptions of highly active anti-retroviral therapy (HAART) to simulate a theraputic vaccine and induce cytotoxic lymphocyte (CTL) mediated control of HIV infection. In previous work we have developed a model predictive control (MPC) based method for...
Mechanical ventilation is often used to treat patients with acute respiratory distress syndrome (ARDS). However, the optimal setting is still controversial, and physicians often rely on experience and intuition. The purpose of this research is to develop a model of the essential lung mechanics to help determining the optimal ventilator setting in clinical situations. The model is a compilation of...
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