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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
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 6th Doctoral Symposium on Computational Intelligence - DoSCI 2025
EditorsAbhishek Swaroop, Vineet Kansal, Aboul Ella Hassanien
PublisherSpringer Science and Business Media Deutschland GmbH
Pages685-692
Number of pages8
ISBN (Print)9789819681037
DOIs
Publication statusPublished - 15 Jan 2026
Event6th Doctoral Symposium on Computational Intelligence, DoSCI 2025 - Lucknow, Hybrid, India
Duration: 28 Mar 202529 Mar 2025

Publication series

NameLecture Notes in Networks and Systems
Volume1498 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference6th Doctoral Symposium on Computational Intelligence, DoSCI 2025
Country/TerritoryIndia
CityLucknow, Hybrid
Period28/03/2529/03/25

Keywords

  • Artificial intelligence
  • Blockchain
  • Decision-making
  • Healthcare
  • Predictive learning

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