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Fuzzy Logic in Action: Applications in Epidemiology and Beyond, co-authored by Eduardo Massad, Neli Ortega, Laécio Barros, and Cláudio Struchiner is a remarkable achievement. The book brings a major paradigm shift to medical sciences exploring the use of fuzzy sets in epidemiology and medical diagnosis arena. The volume addresses the most significant topics in the broad areas of epidemiology, mathematical modeling and uncertainty, embodying them within the framework of fuzzy set and dynamic systems theory. Written by leading contributors to the area of epidemiology, medical informatics and mathematics, the book combines a very lucid and authoritative exposition of the fundamentals of fuzzy sets with an insightful use of the fundamentals in the area of epidemiology and diagnosis. The content is clearly illustrated by numerous illustrative examples and several real world applications. Based on their profound knowledge of epidemiology and mathematical modeling, and on their keen understanding of the role played by uncertainty and fuzzy sets, the authors provide insights into the connections between biological phenomena and dynamic systems as a mean to predict, diagnose, and prescribe actions. An example is the use of Bellman-Zadeh fuzzy decision making approach to develop a vaccination strategy to manage measles epidemics in São Paulo. The book offers a comprehensive, systematic, fully updated and self- contained treatise of fuzzy sets in epidemiology and diagnosis. Its content covers material of vital interest to students, researchers and practitioners and is suitable both as a textbook and as a reference. The authors present new results of their own in most of the chapters. In doing so, they reflect the trend to view fuzzy sets, probability theory and statistics as an association of complementary and synergetic modeling methodologies.
Epidemiology. --- Fuzzy logic. --- Diseases --- Public health --- Nonlinear logic --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Mathematics. --- Computer aided design. --- Engineering mathematics. --- Artificial intelligence. --- Applications of Mathematics. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Math --- Science --- Mathematics --- Applied mathematics. --- Computer-aided engineering. --- CAE --- Data processing --- Epidemiology --- Fuzzy sets. --- Mathematical models. --- Sets, Fuzzy --- Set theory --- Mathematical and Computational Engineering Applications. --- Data processing.
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Liver --- Transplantation of organs, tissues, etc --- Liver Transplantation --- Mathematics --- Transplantation --- Mathematical models. --- Mathematic --- Grafting, Liver --- Hepatic Transplantation --- Liver Transplant --- Transplantation, Hepatic --- Transplantation, Liver --- Hepatic Transplantations --- Liver Grafting --- Liver Transplantations --- Liver Transplants --- Transplant, Liver --- Medical transplantation --- Organ transplantation --- Organ transplants --- Organs (Anatomy) --- Surgical transplantation --- Tissue transplantation --- Tissues --- Transplants, Organ --- Surgery --- Preservation of organs, tissues, etc. --- Procurement of organs, tissues, etc. --- Abdomen --- Biliary tract --- transplantation --- Transplant surgery --- Transplantation surgery
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"The Brain- From Fuzzy Arithmetic to Quantum Computing" presents an original and astounding new understanding of the brain by taking into account novel achievements in Fuzziness and Quantum Information Theory. Bringing together Neuroscience, Soft Computing, Quantum Theory, and recent developments in mathematics the actual knowledge about the brain functioning is formalized into a coherent theoretical framework. This monograph develops new and powerful neural models providing formal descriptions of biochemical transactions in the brain to guide neuroscience experiments and to better interpret their results. This book demonstrates how the physiology of the neuron can be understood based on the fundamentals of fuzzy formal languages and introduces the basics of quantum computation and quantum information to the brain. It discusses how molecular transactions at the cellular level implement such concepts, shows how certain neural structures, like the dendritic spine, are specialized to function as quantum computing devices and demonstrates how the brain can be viewed as a quantum processing intelligent system.
Neural networks (Neurobiology) --- Bioinformatics. --- Fuzzy arithmetic. --- Soft computing. --- Réseaux neuronaux (Neurobiologie) --- Bio-informatique --- Arithmétique floue --- Informatique douce --- Bioinformatics --- Fuzzy arithmetic --- Soft computing --- Models, Theoretical --- Nuclear Physics --- Central Nervous System --- Logic --- Models, Biological --- Natural Science Disciplines --- Artificial Intelligence --- Physics --- Philosophy --- Investigative Techniques --- Disciplines and Occupations --- Computing Methodologies --- Nervous System --- Information Science --- Humanities --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Anatomy --- Brain --- Fuzzy Logic --- Models, Neurological --- Quantum Theory --- Mathematics --- Civil & Environmental Engineering --- Human Anatomy & Physiology --- Engineering & Applied Sciences --- Health & Biological Sciences --- Civil Engineering --- Neuroscience --- Applied Mathematics --- Bio-informatics --- Biological informatics --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Mathematics. --- Neurosciences. --- Neurology. --- Artificial intelligence. --- Quantum computers. --- Applied mathematics. --- Engineering mathematics. --- Quantum Computing. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Biology --- Information science --- Computational biology --- Systems biology --- Engineering --- Engineering analysis --- Mathematical analysis --- Computers --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Medicine --- Nervous system --- Neuropsychiatry --- Neural sciences --- Neurological sciences --- Medical sciences --- Math --- Science --- Data processing --- Diseases --- Cognitive computing --- Computational intelligence --- Arithmetic --- Fuzzy sets --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- Neurology .
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Biomathematics. Biometry. Biostatistics --- Genetics --- Neuropathology --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computergestuurd meten --- neurologie --- analyse (wiskunde) --- bio-informatica --- genetica --- biometrie --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots
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"The Brain- From Fuzzy Arithmetic to Quantum Computing" presents an original and astounding new understanding of the brain by taking into account novel achievements in Fuzziness and Quantum Information Theory. Bringing together Neuroscience, Soft Computing, Quantum Theory, and recent developments in mathematics the actual knowledge about the brain functioning is formalized into a coherent theoretical framework. This monograph develops new and powerful neural models providing formal descriptions of biochemical transactions in the brain to guide neuroscience experiments and to better interpret their results. This book demonstrates how the physiology of the neuron can be understood based on the fundamentals of fuzzy formal languages and introduces the basics of quantum computation and quantum information to the brain. It discusses how molecular transactions at the cellular level implement such concepts, shows how certain neural structures, like the dendritic spine, are specialized to function as quantum computing devices and demonstrates how the brain can be viewed as a quantum processing intelligent system.
Biomathematics. Biometry. Biostatistics --- Genetics --- Neuropathology --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computergestuurd meten --- neurologie --- analyse (wiskunde) --- bio-informatica --- genetica --- biometrie --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots
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Medical informatics. --- World health. --- Medical education. --- Medical personnel --- Professional education --- Global health --- International health --- Public health --- Medical geography --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Education --- International cooperation --- Data processing
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Fuzzy Logic in Action: Applications in Epidemiology and Beyond, co-authored by Eduardo Massad, Neli Ortega, Laécio Barros, and Cláudio Struchiner is a remarkable achievement. The book brings a major paradigm shift to medical sciences exploring the use of fuzzy sets in epidemiology and medical diagnosis arena. The volume addresses the most significant topics in the broad areas of epidemiology, mathematical modeling and uncertainty, embodying them within the framework of fuzzy set and dynamic systems theory. Written by leading contributors to the area of epidemiology, medical informatics and mathematics, the book combines a very lucid and authoritative exposition of the fundamentals of fuzzy sets with an insightful use of the fundamentals in the area of epidemiology and diagnosis. The content is clearly illustrated by numerous illustrative examples and several real world applications. Based on their profound knowledge of epidemiology and mathematical modeling, and on their keen understanding of the role played by uncertainty and fuzzy sets, the authors provide insights into the connections between biological phenomena and dynamic systems as a mean to predict, diagnose, and prescribe actions. An example is the use of Bellman-Zadeh fuzzy decision making approach to develop a vaccination strategy to manage measles epidemics in São Paulo. The book offers a comprehensive, systematic, fully updated and self- contained treatise of fuzzy sets in epidemiology and diagnosis. Its content covers material of vital interest to students, researchers and practitioners and is suitable both as a textbook and as a reference. The authors present new results of their own in most of the chapters. In doing so, they reflect the trend to view fuzzy sets, probability theory and statistics as an association of complementary and synergetic modeling methodologies.
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