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181   $ctxt
182   $cc
183   $acr
200 10$aIntelligent systems modeling and decision support in bioengineering /$fMahdi Mahfouf
205   $a1st ed.
210   $aBoston $cArtech House$dc2006
215   $a1 online resource (355 p.)
225 1 $aArtech House engineering in medicine & biology series
300   $aDescription based upon print version of record.
311 08$a9781580539982 
311 08$a158053998X 
320   $aIncludes bibliographical references and index.
327   $aIntelligent 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
327   $aChapter 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
330 3 $aIntelligent systems try to achieve, through the use of computers, what we associate with intelligence - flexible, learning and adaptive activity like we find in the human brain. For the first time, this groundbreaking resource provides a detailed understanding of the analysis, design, and application of new intelligent systems in the biomedical industry. The book covers the three major areas of application in biomedicine, including the modeling and control in human anaesthesia, decision support for critically ill patients in intensive care units, and modeling of humans who are subjected to physiological stress. The culmination of more than 18 years of research, this cutting-edge reference offers practical modeling and control guidance by presenting a combination of simulations, real-time experiments, and actual patient data.$cPublisher abstract.
410  0$aArtech House engineering in medicine & biology series.
606   $aArtificial intelligence$xMedical applications
606   $aIntelligent control systems
606   $aFuzzy systems in medicine
606   $aBiomedical engineering$xData processing
615  0$aArtificial intelligence$xMedical applications.
615  0$aIntelligent control systems.
615  0$aFuzzy systems in medicine.
615  0$aBiomedical engineering$xData processing.
676   $a610.28
700   $aMahfouf$b Mahdi$01693537
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910963497403321
996   $aIntelligent systems modeling and decision support in bioengineering$94340104
997   $aUNINA