Эта книга демонстрирует новейшие разработки в области многопараметрического модельно-предиктивного управления и оптимизации и их применение для систем доставки лекарств. Она основана на проекте MOBILE (Modelling, Control and Optimization of Biomedical Systems), целью которого было создание интеллектуальных компьютерных систем на основе моделей для оптимизации биомедицинских систем доставки лекарств при диабете, анестезии и онкологических заболеваниях. Эти системы позволяют быстро и надежно рассчитывать оптимальную дозу препарата без необходимости постоянного подключения к компьютеру, учитывая особенности и ограничения конкретной модели пациента, гибкость для адаптации к изменяющимся характеристикам пациента, а также критерии эффективности, установленные врачом, при этом обеспечивая безопасность пациентов.
В книге рассматриваются: математическое моделирование систем доставки лекарств; анализ, оценка параметров и аппроксимация моделей; оптимизация и управление; анализ чувствительности и редукция моделей; многопараметрическое программирование и модельно-предиктивное управление; методы оценивания; физиологически обоснованные модели пациентов; проектирование систем управления для вводной анестезии; многопараметрический подход к внутривенной анестезии; гибридные стратегии модельно-предиктивного управления; сахарный диабет 1 типа; in vitro и in silico моделирование интегрированной платформы для изучения лейкемии; химиотерапия как применение теории систем управления; и многое другое.
Книга знакомит читателей с проектом MOBILE, подробно описывает теоретические основы, вычислительные инструменты и методы, используемые в различных биомедицинских системах. Она будет интересна студентам, исследователям и ученым, работающим в области моделирования, управления и оптимизации биомедицинских систем, а также тем, кто занимается лечением рака, анестезией и системами доставки лекарств.
This book reveals the new developments in multi-parameter model predictive controls and optimizations, and their use in drug drugging systems. This book stems from Modelling and Control and Optimizations of Biomedical Systems. It was installed to set up smart computer models based systems to optimize biomedical drug-drugging systems in various pathologies. These attributes enable officers to do ultrafast calculations for optimal drug dosages without online computers. The safety and dynamic changes of patient structures champion over the parameters and components of personalized models. Physicians' testimonials and designs have been incorporated when applying this modality. this book compels the discussion about the following aspects. mathematical modeling and math implications of medication administering systems, analytical information, estimate peptides and thematic transmission, control and estimation, sensitivity analysis and minimal model declension, multi-unit programming and forecast controls, estimate techniques, pattern based patient models, control design and volatile medicine, multi-component model predictions for IV medication, hybrid control preferences and secrets of predicting transient conditions, 1st form of Diabetes, simulation blocks of cancer therapies and everywhere settings, and just as much. It brings readers online with the process of forecast, managing and solving information with regard to the MOBILE project. It supplies stichomistery of the background theory, deductive tools and techniques that applications inside distinct bio-based frameworks. It teaches mechanical knowledge of foremultiplying, optimizations and overseeing volatile anesthesia, along with a summary of the forecast framework, optimizing and determining bio-hardware architectures. Readers will probably find all of these attractive. Students, academic researchers, scientists who work on forecasts, controls and solutions for internal systems may possibly point this book.
Электронная Книга «Modelling Optimization and Control of Biomedical Systems» написана автором Ioana Nascu в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781118965573
Описание книги от Ioana Nascu
Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug delivery systems This book is based on the Modelling, Control and Optimization of Biomedical Systems (MOBILE) project, which was created to derive intelligent computer model-based systems for optimization of biomedical drug delivery systems in the cases of diabetes, anaesthesia, and blood cancer. These systems can ensure reliable and fast calculation of the optimal drug dosage without the need for an online computer—while taking into account the specifics and constraints of the patient model, flexibility to adapt to changing patient characteristics and incorporation of the physician’s performance criteria, and maintaining the safety of the patients. Modelling Optimization and Control of Biomedical Systems covers: mathematical modelling of drug delivery systems; model analysis, parameter estimation, and approximation; optimization and control; sensitivity analysis & model reduction; multi-parametric programming and model predictive control; estimation techniques; physiologically-based patient model; control design for volatile anaesthesia; multiparametric model based approach to intravenous anaesthesia; hybrid model predictive control strategies; Type I Diabetes Mellitus; in vitro and in silico block of the integrated platform for the study of leukaemia; chemotherapy treatment as a process systems application; and more. Introduces readers to the Modelling, Control and Optimization of Biomedical Systems (MOBILE) project Presents in detail the theoretical background, computational tools, and methods that are used in all the different biomedical systems Teaches the theory for multi-parametric mixed-integer programming and explicit optimal control of volatile anaesthesia Provides an overview of the framework for modelling, optimization, and control of biomedical systems This book will appeal to students, researchers, and scientists working on the modelling, control, and optimization of biomedical systems and to those involved in cancer treatment, anaesthsia, and drug delivery systems.
