Bhushan B., Khanday A., Aurangzeb K., Sharma S.K., Nand P. (eds.) Wellness Management Powered by AI Technologies

Wiley-Scrivener, 2025. — 431 p. — (Machine Learning in Biomedical Science and Healthcare Informatics). — ISBN 978-1-394-28699-7.Управление здоровьем на основе технологий искусственного интеллекта
This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies.Wellness Management Powered by AI Technologies explores the intricate ways Machine Learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions. From smart wearable devices tracking vital signs in real time to ML-driven diagnostic tools providing accurate predictions, readers will gain insights into how these technologies continually reshape healthcare.The book begins by examining the fundamental principles of Machine Learning and IoT, providing readers with a solid understanding of the underlying concepts. Through clear and concise explanations, readers will grasp the complexities of the algorithms that power predictive analytics, disease detection, and personalized treatment recommendations. In parallel, they will uncover the role of IoT devices in collecting data that fuels these intelligent systems, bridging the gap between patients and practitioners.In the following chapters, readers will delve into real-world case studies and success stories that illustrate the tangible benefits of this dynamic duo. This book is not merely a technical exposition; it serves as a roadmap for healthcare professionals and anyone invested in the future of healthcare.Readers will find the book
Explores how AI is transforming diagnostics, treatments, and healthcare delivery, offering cutting-edge solutions for modern healthcare challenges;
Provides practical knowledge on implementing AI in healthcare settings, enhancing efficiency and patient outcomes;
Offers authoritative insights into current AI trends and future developments in healthcare;
Features real-world case studies and examples showcasing successful AI integrations in various medical fields.Preface
1 Exploring Functional Modules Using Co-Clustering of Protein Interaction Networks
2 Natural Language Processing in Healthcare: Enhancing Wellbeing through a COVID-19 Case Study
3 Artificial Intelligence Assisted Internet of Medical Things (AIoMTs) in Sustainable Healthcare Ecosystem
4 An Online Platform for Timely Access to Medical Care with the Help of Real-Time Data Analysis
5 A Comprehensive Review of Cardiac Image Analysis for Precise Heart Disease Diagnosis Using Deep Learning Techniques
6 A Hybrid Machine Learning Model for an Efficient Detection of Liver Inflammation
7 Advancements in Parkinson’s Disease Diagnosis through Automated Speech Analysis
8 Public Opinion Segmentation on COVID-19 Vaccination and Its Impact on Wellbeing
9 Revolutionizing Healthcare with IoT in Cardiology
10 Human Biological Analysis Through Fitness Watch Using Deep Learning Algorithm Health: Effectiveness of Machine Learning Techniques in Diagnosis of Chronic Kidney Disease
12 Integrating Metaheuristics and Machine Learning for Wellbeing Manageme
13 Fusing Sentiment Analysis with Hybrid Collaborative Algorithms for Enhanced Recommender Systems
14 The Future of Well-Being: AI-Powered Health Management with Privacy at its Core
15 Artificial Pancreas: Enhancing Glucose Control and Overall Well-Being