Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes

2024
ISBN: 978-3-031-65021-5
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 7, 394 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 863 g

Reihe: Information Systems Engineering and Management

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.

Zielgruppe

Research

Autoren/Hrsg.

Gupta, Shashi Kant

Natarajan, Rajesh

Karras, Dimitrios A.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik

Inhaltsverzeichnis

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.

Über Autor(innen)

Dr. Shashi Kant Gupta is Senior Editor of GRJ. He is a Post-Doctoral Fellow and Researcher, Computer Science and Engineering, Eudoxia Research University, USA. He is working as an Honorary Senior Research Fellow, Department of Scientific Research, Innovation and Training of Scientific and Pedagogical Staff, University of Economics and Pedagogy. He is a Research Collaborator and Invited Visiting Senior Scientist at the Research Institute of IoT and Cybersecurity, Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Taiwan. Completed his Ph.D. (CSE) from Integral University. ORCID ID: 0000-0001-6587-5607. He is an Editor-in-chief of International Journal of Data Informatics and Intelligent computing (IJDIIC) and International Journal of Emerging Technologies in Computer and Communication (IJETCC). He has edited books of different publishers like CRC Press, Taylor and Francis group Publication, Routledge Publisher, Bentham Science Publishers, Springer Nature Publisher, Wiley Publisher etc. He has published many patents in the field of CSE and IT within India, Germany, UK etc. He has over 12 years of teaching experience, 2 years of Industrial Experience and more than 2.5 years as CEO and Founder.

Dr. Dimitrios A. Karras, Associate Professor, he received Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens (NTUA), Greece in 1985 and the Ph.D. in Electrical Engineering, NTUA, Greece in 1995, with honors. During 1990–2004, he collaborated as visiting professor and researcher with several universities and research institutes in Greece and Heidelberg, Germany (DKFZ). During 2004–2018, he has been with the Sterea Hellas Institute of Technology, Automation Dept., Greece as assoc. prof. in Digital Systems and Signal Processing, as well as visiting prof. of Hellenic Open University, Dept. Informatics in Communication Systems (2002–2010). Since 1/2019, she has remained an Associate Prof. in Digital and Intelligent Systems & Signal Processing, in National and Kapodistrian University of Athens, Greece, School of Science, Dept. General ([e-mail]) as well as adjunct Assoc. Prof. Dr. with the School of Basic Sciences, BIHER University, Chennai, India, as well as with the GLA university, Mathura, India and EPOKA & CIT universities, Computer Engineering Dept., Tirana. He has published more than 80 research refereed journal papers and more than 185 research papers in international refereed scientific conferences.

Rajesh Natarajan completed his Ph.D. in Computer Science from Bharathiar University, Master of Computer Application from Thiruvalluvar University and BSc Computer science from Madras University. He is currently working as a Lecturer at University of Technology and Applied Sciences-Shinas, College of Computing and Information Sciences, Sultanate of Oman. His research interest includes Data Mining, Machine Learning, Big Data Analytics, Blockchain Technology, and Data Privacy and Security. He has presented articles in various National and International conferences and also published articles in reputed indexed journals like SCOPUS and WoS (ESCI, SCI, SCIE, SSCI). Orcid ID: 0000-0003-1255-9621, Scopus ID: 57428465600, Web of Science Research ID: AAT-9951-2021.