Intelligent systems modeling and decision support in bioengineering /

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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 applicatio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mahfouf, Mahdi
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Artech House, ©2006.
Colección:Artech House engineering in medicine & biology series.
Temas:
Artificial intelligence > Medical applications.
Intelligent control systems.
Fuzzy systems in medicine.
Biomedical engineering > Data processing.
Biomedical engineering.
Expert systems (Computer science)
Decision support systems.
Medicine > Decision making.
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.
Decision support systems
Biomedical engineering
Artificial intelligence > Medical applications
Biomedical engineering > Data processing
Fuzzy systems in medicine
Intelligent control systems
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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