ABSTRACT

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.

chapter 4|24 pages

Deep Learning

A Review on Supervised Architectures and their Applications to Decision Support Systems in the Medical Field

chapter 6|16 pages

Sustainable e-Health Solutions for Routine and Emergency Treatment

Scope of Informatics and Telemedicine in India

chapter 11|16 pages

Deep Learning for the Prediction and Detection of Alzheimer's Disease (AD)

An Overview and Future Trends