Full Description
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.
Contents
1. Screen Time and Health Outcomes in Female Children: A Machine Learning Analysis of Overweight Status and Yearly Illness Frequency. 2. Automatic Technology Implications on Farm Agriculture and World Socio-Economic Impact. 3. Harnessing deep learning for early detection of Covid-19 thorough chest X-Rays. 4. Integrating Intelligence: The Convergence of Computer Science and Engineering in Cyber-Physical Systems. 5. Optimization of Manufacturing Processes Using Computational Intelligence Techniques. 6. Transforming Intelligent Systems for the HealthCare Industry in the Balkan. 7. Menstrual cup as a sustainable menstrual hygiene product: Nonuser's perspectives. 8. Overview of Big Data Analytics for sustainable Healthcare. 9. Smart Health Revolution: Unleashing the Power of AI, Electronic Health Record and IoT for Sustainable Systems. 10. Exploring the Impact of Smart watches on Health Management for Seniors Citizen: A Qualitative Study. 11. Telemedicine and Remote Patient Monitoring (RPM) in smart healthcare systems: a bibliometric analysis using Spar-4-Slr protocol. 12. An Empirical Investigation on the Impact of Waiting Time on Patient Satisfaction. 13. Transforming the Digital Landscape: The Economic Impact of AI in E-Commerce and Online Services. 14. Artificial womb technology.
