Blockchain and Deep Learning Powered Healthcare System

Authors: Prof. P.C. Patil, Anam Shaikh, Mansi Mahale, Girish Pawar, Harshita Bari

Country: India

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Abstract: The rapid advancement of artificial intelligence (AI) in healthcare has paved the way for intelligent disease prediction systems capable of early diagnosis and personalized medical insights. This paper presents a novel disease prediction system that leverages Deep Learning to analyze user-reported symptoms and generate accurate health assessments. The system integrates blockchain technology to ensure secure, immutable, and transparent storage of patient data, addressing critical concerns related to privacy and trust.
A comprehensive feasibility analysis has been conducted, evaluating the system’s viability from operational, technical, and economic perspectives. The operational feasibility assessment highlights the system’s user-friendly interface and adaptability to diverse healthcare settings. The technical feasibility study confirms the robustness of the deep learning models and the efficiency of blockchain-based data management. Furthermore, an economic evaluation demonstrates the system’s cost-effectiveness and scalability, making it a viable solution for widespread adoption.
Future work will focus on refining system requirements through stakeholder engagement, including healthcare professionals, policymakers, and end-users, to ensure alignment with real-world needs. A detailed implementation roadmap will be developed, incorporating feedback loops for continuous improvement. The study emphasizes the importance of interdisciplinary collaboration to optimize system performance and facilitate seamless integration into existing healthcare infrastructures.
By combining AI-driven disease prediction with secure blockchain storage, this research contributes to the development of a reliable, privacy-preserving, and scalable healthcare solution. The proposed system has the potential to enhance early disease detection, improve patient outcomes, and support data-driven decision-making in the medical field.

Keywords: Disease Prediction, Deep Learning, Blockchain Technology, Secure Data Storage, Health Insights, Feasibility Analysis

Paper Id: 232208

Published On: 2025-03-03

Published In: Volume 13, Issue 2, March-April 2025

Cite This: Blockchain and Deep Learning Powered Healthcare System - Prof. P.C. Patil, Anam Shaikh, Mansi Mahale, Girish Pawar, Harshita Bari - IJIRMPS Volume 13, Issue 2, March-April 2025.

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