Cognitive Cardiac Rehabilitation Using Iot And Ai Tools
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Cognitive Cardiac Rehabilitation Using IoT and AI Tools
In recent times, research in human-focused robot technologies aims to bring social-emotional intelligence closer, which interconnects with human lifestyles. Among several areas that can benefit from it, the healthcare sector, which consists of many possible areas of therapeutic interposition, is the most vital. Further, there is always concern about patient adherence to cardiac rehabilitation. It is essential to understand the motivational factors affecting patient participation and compliance with cardiac rehabilitation by recognizing and understanding the nature of patient experiences. Cognitive Cardiac Rehabilitation Using IoT and AI Tools describes the application of AI techniques used to extract features from brain and heart signal data and to better efficiency compared to the existing methods. This book also describes the application of AI tools to classify disorders and better performance compared to the existing benchmarks. Covering topics such as cardiac rehabilitation, heart disease prediction, and online social media analytics, this premier reference source is an excellent resource for healthcare professionals, medical engineers, hospital administrators, students and educators of higher education, researchers, and academicians.
Transformation and Efficiency Enhancement of Public Utilities Systems: Multidimensional Aspects and Perspectives
Much remains to be known about public utilities system organization, efficiency, management, legislation, practices, and solutions worldwide, as well as the implications for sustainable development in different countries. Thus, a better understanding of the different management practices in public utilities across different contexts is needed to assess their impact on efficiency and sustainability, especially in the changed climate conditions. Transformation and Efficiency Enhancement of Public Utilities Systems: Multidimensional Aspects and Perspectives considers the necessity to transform public utilities systems towards sustainability and efficiency. This publication investigates the performance management process of public utility systems and evaluates the efficiency of public utilities to propose potential improvements. The book encourages amenable authorities to create more efficient and effective management systems and improve their performance. Additionally, it provides the government with a systemic approach to public utilities system transformation and development. Covering key topics such as public hygiene, sustainability, and environmental protection, this premier reference source is ideal for government officials, policymakers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care
Artificial intelligence (AI) has emerged as a transformative force across various domains, revolutionizing the way we perceive and address challenges in healthcare. The convergence of AI and healthcare holds immense promise, offering unprecedented opportunities to enhance medical diagnosis, treatment, and patient care. In today’s world, the intersection of AI and healthcare stands as one of the most promising frontiers for innovation and progress. Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care embodies this convergence, offering a comprehensive exploration of how AI is revolutionizing various aspects of healthcare delivery. At its core, this book addresses the urgent need for more effective and efficient healthcare solutions in an increasingly complex and data-rich environment. Covering topics such as chronic disease, image classification, and precision medicine, this book is an essential resource for healthcare professionals, medical researchers, AI and machine learning specialists, healthcare administrators and executives, medical educators and students, biomedical engineers, healthcare IT professionals, policy makers and regulators, academicians, and more.