ML And Blockchain in Healthcare

Devank Sanjay Shinde , Atharva Mahalungekar , Aditya Upasani , Debarati Ghosal

Machine Learning (ML), blockchain technology, healthcare, data security, privacy, decision-making, predictive analytics, personalized treatment, anomaly detection, decentralized healthcare, data interoperability, patient privacy

The integration of Machine Learning (ML) and Blockchain technology in healthcare has the potential to revolutionize the industry by enhancing data security, privacy, and decision-making. This paper explores the synergy between ML and blockchain in creating a more robust, efficient, and decentralized healthcare system. Machine Learning models enable predictive analytics, personalized treatment plans, and anomaly detection, while blockchain ensures secure, immutable, and transparent data sharing across stakeholders. Together, these technologies address critical challenges such as data interoperability, patient privacy, and healthcare fraud. We present a comprehensive analysis of current applications, including patient data management, drug supply chain tracking, and predictive healthcare models. Furthermore, the paper discusses key challenges, such as scalability, data standardization, and computational costs, along with potential future directions for research in this interdisciplinary domain. Our findings suggest that a combined approach of ML and blockchain can significantly enhance the quality of healthcare services by fostering trust, reducing inefficiencies, and empowering patients and healthcare providers with better data-driven insights.

Published Paper   E-Certificate

"ML And Blockchain in Healthcare", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.c14-c18, October-2024, Available :https://ijnrd.org/papers/IJNRD2410204.pdf

Volume 9 Issue 10, October-2024

Pages : c14-c18

Paper Reg. ID: IJNRD_301260

Published Paper Id: IJNRD2410204

Downloads: 00029

Research Area: Science and Technology

Country: NAVIMUMBAI, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410204

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410204

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition