Big Data Analytics and Intelligent Applications for Smart and Secure Healthcare Services

Kamal Upreti, Nishant Kumar, Mohammad Shabbir Alam, Mohammad Shahnawaz Nasir, Debabrata Samanta

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040301227
• Edition: 0
• Topic: Technology & Engineering
• Subtopic: Computer Engineering
• Index: Technology & Engineering

The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.

This book:

• Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability
• Highlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers
• Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation
• Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints
• Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems
• Includes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies

This volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.

Table of contents

• Cover
• Half-Title Page
• Series Page
• Title Page
• Copyright Page
• Table of Contents
• Preface
• About the editors
• List of Contributors
• Chapter 1 Screen usage and health outcomes in female children: A machine learning analysis of overweight status and yearly illness frequency
• Chapter 2 Automatic technology implications for agriculture and world socio-economic impact
• Chapter 3 Harnessing deep learning for the early detection of COVID-19 using chest X-rays
• Chapter 4 Integrating intelligence: The convergence of computer science and engineering in cyber–physical systems
• Chapter 5 Optimisation of manufacturing processes using computational intelligence techniques
• Chapter 6 Transforming intelligent systems for the healthcare industry in the Balkans
• Chapter 7 Menstrual cups as sustainable menstrual hygiene products: Nonuser’s perspectives
• Chapter 8 Overview of big data analytics for sustainable healthcare
• Chapter 9 Smart health revolution: Unleashing the power of AI, electronic health records and the IoT for sustainable systems
• Chapter 10 Exploring the impact of smart watches on health management for senior citizens: A qualitative study
• Chapter 11 Telemedicine and remote patient monitoring (RPM) in smart healthcare systems: A bibliometric analysis using the SPAR-4-SLR protocol
• Chapter 12 An empirical investigation on the impact of waiting time on patient satisfaction
• Chapter 13 Transforming the digital landscape: The economic impact of AI in e-commerce and online services
• Chapter 14 Artificial womb technology
• Index