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A Convergent Framework of Predictive Learning Intelligence with Secure Blockchain in Healthcare

  • Shivam Kumar Ojha
  • , Sushruta Mishra*
  • , Rahul Dev Mallick
  • , Tiansheng Yang
  • , Lu Wang
  • , Rajkumar Singh Rathore
  • *Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad mewn cynhadleddadolygiad gan gymheiriaid

Crynodeb

The combination of machine learning (ML) and blockchain technology has great potential, especially in the healthcare field. Machine learning is effective in identifying patterns and making decisions, but it relies on large, trusted data to ensure accuracy. The decentralized nature of blockchain encourages secure data sharing, while consensus ensures that shares data is legal and protected. Integrating these technologies makes the learning model very effective because trusting the blockchain improves data integrity and privacy. This method can lead to greater confidence and clarity, especially in the medical field where the security of important information and advanced analytical tools are required. This article shows how the integration of machine learning and blockchain can improve healthcare by providing better data management, security, and accurate decision-making.

Iaith wreiddiolSaesneg
TeitlProceedings of 6th Doctoral Symposium on Computational Intelligence - DoSCI 2025
GolygyddionAbhishek Swaroop, Vineet Kansal, Aboul Ella Hassanien
CyhoeddwrSpringer Science and Business Media Deutschland GmbH
Tudalennau685-692
Nifer y tudalennau8
ISBN (Argraffiad)9789819681037
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 15 Ion 2026
Digwyddiad6th Doctoral Symposium on Computational Intelligence, DoSCI 2025 - Lucknow, Hybrid, India
Hyd: 28 Maw 202529 Maw 2025

Cyfres gyhoeddiadau

EnwLecture Notes in Networks and Systems
Cyfrol1498 LNNS
ISSN (Argraffiad)2367-3370
ISSN (Electronig)2367-3389

Cynhadledd

Cynhadledd6th Doctoral Symposium on Computational Intelligence, DoSCI 2025
Gwlad/TiriogaethIndia
DinasLucknow, Hybrid
Cyfnod28/03/2529/03/25

Dyfynnu hyn