Intelligent systems modeling and decision support in bioengineering / Mahdi Mahfouf.
Material type:
TextSeries: Artech House engineering in medicine & biology seriesPublication details: Boston : Artech House, ©2006.Description: 1 online resource (xii, 342 pages) : illustrationsContent type: - text
- computer
- online resource
- 9781580539999
- 1580539998
- Artificial intelligence -- Medical applications
- Intelligent control systems
- Fuzzy systems in medicine
- Biomedical engineering -- Data processing
- Biomedical engineering
- Expert systems (Computer science)
- Decision support systems
- Biomedical Engineering
- Expert Systems
- Fuzzy Logic
- Decision Support Systems, Management
- Biomedical Technology
- Intelligence artificielle en médecine
- Systèmes flous en médecine
- Commande intelligente
- Systèmes d'aide à la décision
- Médecine -- Prise de décision
- Génie biomédical -- Informatique
- Génie biomédical
- Systèmes experts (Informatique)
- biomedical engineering
- TECHNOLOGY & ENGINEERING -- Biomedical
- MEDICAL -- Family & General Practice
- MEDICAL -- Allied Health Services -- Medical Technology
- MEDICAL -- Biotechnology
- MEDICAL -- Lasers in Medicine
- BIOGRAPHY & AUTOBIOGRAPHY -- Medical
- Artificial intelligence -- Medical applications
- Biomedical engineering -- Data processing
- Fuzzy systems in medicine
- Intelligent control systems
- 610.28 22
- R859.7.A78 M34 2006eb
- 2006 L-636
- W 26.55.A7
- digitized 2010 HathiTrust Digital Library committed to preserve
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Includes bibliographical references and index.
Print version record.
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Intelligent systems try to achieve, through the use of computers, what we associate with intelligence - flexible, learning and adaptive activity like we find in the human brain. For the first time, this groundbreaking resource provides a detailed understanding of the analysis, design, and application of new intelligent systems in the biomedical industry. The book covers the three major areas of application in biomedicine, including the modeling and control in human anaesthesia, decision support for critically ill patients in intensive care units, and modeling of humans who are subjected to physiological stress. The culmination of more than 18 years of research, this cutting-edge reference offers practical modeling and control guidance by presenting a combination of simulations, real-time experiments, and actual patient data. Publisher abstract.
Intelligent Systems Modeling and Decision Support in Bioengineering; Contents v; Preface xi; Chapter 1 Introduction 1; Chapter 2 A Survey on the Utilization of Fuzzy Logic-Based Technologies in Medicine and Healthcare 9; Chapter 3 Feedback Control of Muscle Relaxation and Unconsciousness Using Predictive Control 45; Chapter 4 A New Generic Approach to Model Reduction for Complex Physiologically Based Drug Models 85; Chapter 5 A Hybrid System's Approach to Modeling and Control of Unconsciousness 129; Chapter 6 Neural-Fuzzy Modeling and Feedback Control in Anesthesia 173
Chapter 7 Intelligent Modeling and Decision Support in the General Intensive Care Unit 215Chapter 8 Hybrid Modeling of Healthy Subjects Experiencing Physical Workload 259; Chapter 9 Physiological Model Extension and Model Exploitation Via Real-Time Fuzzy Control 293; Chapter 10 Conclusion 325; About the Author 335; Index 337
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