International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 11 | Nov 2024
p-ISSN: 2395-0072
www.irjet.net
ChainMedIQ: Diagnostics Powered by ML and Blockchain 1Sanket Koli, 2Pratik Nagtilak, 3Shridhar Marda,4Mohammed Sahbi Inamdar 1,2,3,4UG Students, Department of Computer Science and Engineering,
SVERI’s College of Engineering Pandharpur, Maharashtra India 5S. M. Shinde
5Assistant Professor, Department of Computer Science and Engineering,
SVERI’s College of Engineering Pandharpur, Maharashtra India --------------------------------------------------------------------------***--------------------------------------------------------------------------ABSTRACT ChainMedIQ is an innovative web-based application that merges machine learning (ML) with blockchain technology to revolutionise diagnostics in healthcare. Focused on predicting heart disease, the ML model is trained on extensive patient records, providing accurate and reliable predictions. Blockchain technology ensures that patient data is stored securely, transparently, and immutably, allowing patients to retain control over their health information. By decentralising data storage, ChainMedIQ eliminates single points of failure, enhancing the reliability and availability of diagnostic services. The platform fosters trust between patients and healthcare providers by ensuring data integrity and security. ChainMedIQ not only aids clinicians in making data-driven decisions but also empowers patients with secure, decentralised data management, leading to improved patient outcomes and a more resilient healthcare system.
Keywords: Machine Learning (ML), Blockchain Technology, Heart Disease Prediction, Healthcare Diagnostics, Data Security, Decentralised Data Management, Patient Empowerment Transparency , Predictive Analytics Scalability .
I. INTRODUCTION
services.[4] ChainMedIQ represents a significant step forward in healthcare, offering a powerful tool for clinicians to make data-driven decisions while empowering patients with secure, transparent data management. By combining ML’s predictive capabilities with blockchain’s security and transparency, ChainMedIQ aims to improve patient outcomes and contribute to a more resilient and trustworthy healthcare system.
ChainMedIQ is an innovative platform that merges the strengths of machine learning (ML) and blockchain technology to advance healthcare diagnostics, with a particular focus on heart disease. As heart disease remains a leading cause of death worldwide, accurate and timely diagnosis is crucial. ChainMedIQ addresses this need by employing a sophisticated ML model trained on a vast dataset of patient records to predict the likelihood of heart disease with high accuracy. Blockchain technology is integral to ChainMedIQ’s approach, ensuring that patient data is stored in a secure, decentralised, and immutable manner. This not only protects sensitive health information from unauthorized access but also gives patients control over their data, fostering a more transparent and trustbased relationship between patients and healthcare providers. The decentralized nature of blockchain also eliminates the risk of single points of failure, ensuring the continuous availability and reliability of diagnostic
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Impact Factor value: 8.315
II. LITERATURE SURVEY 2.1 Existing model The first literature source, Rajkomar, A., Dean, J., and Kohane, I. (2018). “Machine Learning in Medicine,” highlights key aspects of machine learning applications in healthcare. Here’s a breakdown of the existing model in key points: 1. Promise of ML in Healthcare: Machine learning has the potential to revolutionize healthcare by analyzing vast datasets to improve diagnosis, treatment planning, and patient outcomes. [2]
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