Smart computational intelligence in biomedical and health informatics / edited by Amit Kumar Manocha, Mandeep Singh, Shruti Jain, and Vishal Jain.

Format:

Book

Contributor:

Manocha, Amit Kumar, editor.

Series:

Computational intelligence techniques.

Computational intelligence techniques

Language:

English

Subjects (All):

Medical informatics.

Biomedical engineering--Data processing.

Biomedical engineering.

Computational intelligence.

Physical Description:

1 online resource (xviii, 184 pages) illustrations.

Edition:

1st ed.

Place of Publication:

Boca Raton, Florida : CRC Press, 2022

Summary:

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.

Contents:

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.

Notes:

Includes bibliographical references and index.

Description based on online resource; title from digital title page (viewed on October 25, 2021)

ISBN:

1-00-310932-2

1-003-10932-2

1-000-43437-0

9781003109327

OCLC:

1262639801