Smart Computational Intelligence in Biomedical and Health Informatics |
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| Editor:
| Kumar Manocha, Amit
Singh, Mandeep
Jain, Shruti
Jain, Vishal |
| Series title: | Computational Intelligence Techniques Ser. |
| ISBN: | 978-1-003-10932-7 |
| Publication Date: | Sep 2021 |
| Publisher: | Taylor & Francis Group
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| Imprint: | CRC Press |
| Book Format: | Digital (delivered electronically) |
| List Price: | USD $58.95 |
Book Description:
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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...
More Description
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.