Health Chain: Kidney Liver Disease Diagnosis with Secure Organ Donation Using Blockchain

Abstract- —This paper presents an integrated framework that leverages blockchain techniques and machine learning for the diagnosis of Kidney Disease and liver diseases. Combining blockchain-based decentralized organ donation systems with advanced machine learning models ensures accurate predictions, secure health record management, and efficient organ donation. We employ statistical feature extraction techniques such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) to improve disease classification, while blockchain ensures the security and transparency of the organ donation process. In this model we will be using an ILPD dataset for liver and the UC Irvine Machine Learning Repository for kidney, using attributes from ILPD for liver disease detection. We will integrate both liver and kidney detection and suitable approach for donations as well. Index Terms: chronic kidney disease (CKD), Chronic liver Disease (CLD) Organ transplantation, Early detection, Blockchain technology, Decentralized platform.