LEADER 05901nam 22007335 450 001 9910887801703321 005 20250306130725.0 010 $a9783031650222 010 $a3031650220 024 7 $a10.1007/978-3-031-65022-2 035 $a(MiAaPQ)EBC31690030 035 $a(Au-PeEL)EBL31690030 035 $a(CKB)36193824300041 035 $a(DE-He213)978-3-031-65022-2 035 $a(EXLCZ)9936193824300041 100 $a20240924d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRevolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes /$fedited by Shashi Kant Gupta, Dimitrios A. Karras, Rajesh Natarajan 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (406 pages) 225 1 $aInformation Systems Engineering and Management,$x3004-9598 ;$v7 311 08$a9783031650215 311 08$a3031650212 327 $aChapter 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. 330 $aThis book showcases an endeavor to delve into the fusion of artificial intelligence (AI) and the Internet of Things (IoT) within the healthcare domain. The healthcare sector is currently experiencing a shift fueled by technological advancements and a heightened focus on providing tailored, efficient and impactful care to individuals. AI and IoT have emerged as facilitators of this evolution presenting opportunities to elevate patient results streamline operations and enhance decision-making within healthcare environments. This publication unites an array of viewpoints from experts in healthcare, technology and research domains. Through an array of enlightening chapters readers will embark on a journey exploring the applications, hurdles and consequences of merging AI with IoT in healthcare contexts. From analytics and remote monitoring to treatment suggestions and operational enhancements the potentials offered by AI and IoT is both captivating and revolutionary. As editors overseeing this volume?s creation we take pride in presenting an assemblage of contributions that mirror the research findings, innovations and optimal practices in healthcare technology. Our aim is to encourage readers to engage in thinking, creativity and teamwork when considering the impact of integrating AI with IoT on enhancing patient care and healthcare services. 410 0$aInformation Systems Engineering and Management,$x3004-9598 ;$v7 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aPublic health 606 $aMedicine$xResearch 606 $aBiology$xResearch 606 $aMedical sciences 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aPublic Health 606 $aBiomedical Research 606 $aHealth Sciences 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aPublic health. 615 0$aMedicine$xResearch. 615 0$aBiology$xResearch. 615 0$aMedical sciences. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aPublic Health. 615 24$aBiomedical Research. 615 24$aHealth Sciences. 676 $a610.285 702 $aGupta$b Shashi Kant 702 $aKarras$b Dimitrios A. 702 $aNatarajan$b Rajesh 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910887801703321 996 $aRevolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes$94348833 997 $aUNINA