Smart Computational Intelligence in Biomedical and Health Informatics
- Length: 202 pages
- Edition: 1
- Language: English
- Publisher: CRC Press
- Publication Date: 2021-09-28
- ISBN-10: 0367624125
- ISBN-13: 9780367624125
- Sales Rank: #0 (See Top 100 Books)
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.
Cover Half Title Series Page Title Page Copyright Page Contents List of Figures List of Tables Preface Acknowledgments Editors List of Contributors Chapter 1: Impact of Gender on the Lipid Profile of Patients with Coronary Artery Disease: A Bayesian Analytical Approach Chapter 2: Implementation of Wearable ECG Monitor Interfaced with Real-Time Location Tracker Chapter 3: AI and Deep Learning for Biomedical Image Analysis Chapter 4: Deep Learning: A Review on Supervised Architectures and their Applications to Decision Support Systems in the Medical Field Chapter 5: Automated View Orientation Classification for X-ray Images Using Deep Neural Networks Chapter 6: Sustainable e-Health Solutions for Routine and Emergency Treatment: Scope of Informatics and Telemedicine in India Chapter 7: Predicting Medical Procedures from Diagnostic Sequences Using Neural Machine Translation Chapter 8: Sensing the Mood-Application of Machine Learning in Human Psychology Analysis and Cognitive Science Chapter 9: Speech Emotion Recognition using Manta Ray Foraging Optimization Based Feature Selection Chapter 10: Internet of Things in Healthcare Informatics Chapter 11: Deep Learning for the Prediction and Detection of Alzheimer’s Disease (AD): An Overview and Future Trends Chapter 12: A Text Analytics-based E-Healthcare Decision Support Model Using Machine Learning Techniques Index
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