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Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and devices in clinical diagnosis, disease prevention, and patient monitoring and management. It also covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences. FEATURES
Covers evolutionary approaches to solve optimization problems in biomedical engineering
Discusses IoT, Cloud computing, and data analytics in healthcare informatics
Provides computational intelligence-based solution for diagnosis of diseases
Reviews modelling and simulations in designing of biomedical equipment
Promotes machine learning-based approaches to improvements in biomedical engineering problems
This book is for researchers, graduate students in healthcare, biomedical engineers, and those interested in health informatics, computational intelligence, and machine learning.
Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and devices in clinical diagnosis, disease prevention, and patient monitoring and management. It also covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences. FEATURES
Covers evolutionary approaches to solve optimization problems in biomedical engineering
Discusses IoT, Cloud computing, and data analytics in healthcare informatics
Provides computational intelligence-based solution for diagnosis of diseases
Reviews modelling and simulations in designing of biomedical equipment
Promotes machine learning-based approaches to improvements in biomedical engineering problems
This book is for researchers, graduate students in healthcare, biomedical engineers, and those interested in health informatics, computational intelligence, and machine learning.
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