Startseite Mathematik 19 A novel blockchain-based artificial intelligence application for healthcare automation
Kapitel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

19 A novel blockchain-based artificial intelligence application for healthcare automation

  • Pramendra Kumar , Gunawan Widjaja , Nikhil S. Patankar und B. Suresh Kumar
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

The integration of blockchain and artificial intelligence (AI) technology can facilitate a comprehensive healthcare automation platform that can leverage the power of both AI and blockchain. This platform not only creates trust, enabling transparency of patient data sharing and record keeping, but also allows AI and machine learning algorithms to improve the efficiency and accuracy of healthcare technologies. It can provide healthcare data privacy, ease the access and sharing of medical records and other confidential health information, and enable fast and secure medical imaging transfers.

Abstract

The integration of blockchain and artificial intelligence (AI) technology can facilitate a comprehensive healthcare automation platform that can leverage the power of both AI and blockchain. This platform not only creates trust, enabling transparency of patient data sharing and record keeping, but also allows AI and machine learning algorithms to improve the efficiency and accuracy of healthcare technologies. It can provide healthcare data privacy, ease the access and sharing of medical records and other confidential health information, and enable fast and secure medical imaging transfers.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Preface V
  3. Contents VII
  4. List of authors IX
  5. About the editors XIII
  6. 1 Introduction to artificial intelligence 1
  7. 2 AI technologies, tools, and industrial use cases 21
  8. 3 Classification and regression algorithms 53
  9. 4 Clustering and association algorithm 87
  10. 5 Reinforcement learning 109
  11. 6 Evaluation of AI model performance 125
  12. 7 Methods of cross-validation and bootstrapping 145
  13. 8 Meta-learning through ensemble approach: bagging, boosting, and random forest strategies 167
  14. 9 AI: issues, concerns, and ethical considerations 189
  15. 10 The future with AI and AI in action 213
  16. 11 A survey of AI in industry: from basic concepts to industrial and business applications 233
  17. 12 The intelligent implications of artificial intelligence-driven decision-making in business management 251
  18. 13 An innovative analysis of AI-powered automation techniques for business management 269
  19. 14 The smart and secured AI-powered strategies for optimizing processes in multi-vendor business applications 287
  20. 15 Utilizing AI technologies to enhance e-commerce business operations 309
  21. 16 Exploring the potential of artificial intelligence in wireless sensor networks 331
  22. 17 Exploring artificial intelligence techniques for enhanced sentiment analysis through data mining 345
  23. 18 Exploring the potential of artificial intelligence for automated sentiment 361
  24. 19 A novel blockchain-based artificial intelligence application for healthcare automation 373
  25. 20 Enhancing industrial efficiency with AI-enabled blockchain-based solutions 387
  26. Index 401
Heruntergeladen am 3.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783111323749-019/html
Button zum nach oben scrollen