SECURE AND INTELLIGENT EARLY DISEASE DETECTION FRAMEWORK BASED ON ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN

Abstract

Early detection of diseases plays a crucial role in improving healthcare outcomes and reducing mortality rates. With the rapid growth of healthcare data, traditional diagnostic systems often struggle to efficiently analyze large volumes of medical information while ensuring data security and privacy. This research proposes a Secure and Intelligent Early Disease Detection Framework based on Artificial Intelligence (AI) and Blockchain technology. The proposed system utilizes machine learning algorithms to analyze patient health data, medical records, and diagnostic parameters to predict diseases at an early stage. Artificial Intelligence enables the system to identify hidden patterns in medical datasets and provide accurate predictions that assist healthcare professionals in making informed decisions. To address concerns related to data privacy and security, Blockchain technology is integrated into the framework to provide decentralized, immutable, and transparent storage of medical records. Blockchain ensures secure sharing of healthcare data among authorized entities while preventing unauthorized access and data tampering. The combination of AI and Blockchain creates a reliable and secure healthcare infrastructure that enhances disease prediction accuracy, ensures patient data protection, and promotes trust in digital healthcare systems. The proposed framework aims to support healthcare providers in delivering timely diagnosis and improving overall patient care through intelligent and secure medical data management