Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes

Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes

Detalhes bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros Autores: Gupta, Shashi Kant (Editor), Karras, Dimitrios A. (Editor), Natarajan, Rajesh (Editor)
Resumo:XXI, 394 p. 144 illus., 113 illus. in color.
text
Idioma:inglês
Publicado em: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edição:1st ed. 2024.
Colecção:Information Systems Engineering and Management, 7
Assuntos:
Computational intelligence.
Artificial intelligence.
Public health.
Medicine > Research.
Biology > Research.
Medical sciences.
Computational Intelligence.
Artificial Intelligence.
Public Health.
Biomedical Research.
Health Sciences.
Acesso em linha:https://doi.org/10.1007/978-3-031-65022-2
Formato: Recurso Electrónico Livro
Sumário:
  • 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.

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