06162nam a22006255i 4500 978-3-031-65022-2 DE-He213 20251030113102.0 cr nn 008mamaa 240924s2024 sz | s |||| 0|eng d 9783031650222 978-3-031-65022-2 10.1007/978-3-031-65022-2 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes [electronic resource] / edited by Shashi Kant Gupta, Dimitrios A. Karras, Rajesh Natarajan. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXI, 394 p. 144 illus., 113 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Information Systems Engineering and Management, 3004-9598 ; 7 Chapter 1. PATIENT HEALTH SERVICES FOR EARLY DETECTION THERAPY OF DIABETES MELLITUS WITH EXPERT SYSTEM AND IOT -- Chapter 2. Exploring AI and IoT Integration for Medicine Recommendation with Chimp Optimized Dynamic XGBoost (CO-DXB) -- Chapter 3. Integrating IoT and AI in Healthcare: A Novel MS-GNN Framework for Disease Diagnosis -- Chapter 4. Advancing Glioblastoma Treatment through AI-Driven Radiomics: A Comparative Study of Feature Selection and Machine Learning Techniques -- Chapter 5. Utilizing Artificial Intelligence for Enhanced Healthcare Diagnosis and Treatment -- Chapter 6. Artificial Intelligence in Personalized Health Services for Better Patient Care -- Chapter 7. Transforming Healthcare: The Synergistic Fusion of AI and IoT for Intelligent, Personalized Well-being -- Chapter 8. Machine Learning-Based Autism Spectrum Disorder Prediction: A Comparative Approach -- Chapter 9. The Future of Healthcare: Using AI and IoT to Drive Data Driven Revolution -- Chapter 10. Preventive Health Care System for Early Heart Disease Detection using IoT and Machine Learning -- Chapter 11. IoT in Daily Life: Investigating the Impact of IoT on Procrastination, Well-being, Mental Health, and Healthcare Wizards -- Chapter 12 . AI Innovations in Health Care: Reshaping Diagnostics and Care -- Chapter 13. Statistical Distribution of Blood Glucose Levels in Diabetic Patients Diagnosis Using ML-Based PCA Methods -- Chapter 14. IoT-Infused Care: Disentanglement Family Dynamics and Coping Strategies in the Realm of Intellectually Disabled Children -- Chapter 15. An Approach to Pattern Prediction and Early Recognition of Lung Cancer Employing Machine Learning Techniques -- Chapter 16. Unlocking the Potential: Biometric Traits in Healthcare with a Focus on Eye Diseases -- Chapter 17. Pixels, Perspectives, and Psychological Strain: Unravelling the Link Between Negative Body Image, Internet of Things (IOT), and Mental Health Challenges in Student Population -- Chapter 18. DNA-Based Secure Image Transmission Framework Using Encryption and LSB Steganography -- Chapter 19. Building Predictive Models for Cardiovascular Health -- Chapter 20. Transforming Healthcare: The Convergence of IoT and AI. This book showcases an endeavor to delve into the fusion of artificial intelligence (AI) and the Internet of Things (IoT) within the healthcare domain. The healthcare sector is currently experiencing a shift fueled by technological advancements and a heightened focus on providing tailored, efficient and impactful care to individuals. AI and IoT have emerged as facilitators of this evolution presenting opportunities to elevate patient results streamline operations and enhance decision-making within healthcare environments. This publication unites an array of viewpoints from experts in healthcare, technology and research domains. Through an array of enlightening chapters readers will embark on a journey exploring the applications, hurdles and consequences of merging AI with IoT in healthcare contexts. From analytics and remote monitoring to treatment suggestions and operational enhancements the potentials offered by AI and IoT is both captivating and revolutionary. As editors overseeing this volume’s creation we take pride in presenting an assemblage of contributions that mirror the research findings, innovations and optimal practices in healthcare technology. Our aim is to encourage readers to engage in thinking, creativity and teamwork when considering the impact of integrating AI with IoT on enhancing patient care and healthcare services. Computational intelligence. 64052 Artificial intelligence. 58441 Public health. 61312 Medicine Research. 62598 Biology Research. 65629 Medical sciences. 65984 Computational Intelligence. 64052 Artificial Intelligence. 58441 Public Health. 61312 Biomedical Research. 65633 Health Sciences. 65987 Gupta, Shashi Kant. editor. (orcid)0000-0001-6587-5607 https://orcid.org/0000-0001-6587-5607 edt http://id.loc.gov/vocabulary/relators/edt 84911 Karras, Dimitrios A. editor. edt http://id.loc.gov/vocabulary/relators/edt 78966 Natarajan, Rajesh. editor. edt http://id.loc.gov/vocabulary/relators/edt 84912 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031650215 Printed edition: 9783031650239 Printed edition: 9783031650246 Information Systems Engineering and Management, 3004-9598 ; 7 78463 https://doi.org/10.1007/978-3-031-65022-2 ZDB-2-INR ZDB-2-SXIT 63667 63667