Blockchain-Based Explainable AI for Secure and Privacy-Preserving Automated Machine Learning in IoT-Edge for Smart Medical Healthcare

Abstract

Coronary Heart Disease (CHD) continues to affect close to 145 million males and 110 million females across the globe, taking close to nine million lives each year. A new evolving framework incorporating IoT-edge computing, Explainable AI, and blockchain technology is in the process of development in order to create a secure, privacy-preserving, and interpretable automated machine learning environment to predict chronic diseases. The IoT-based system utilizes medical sensors and assistive devices for real-time monitoring of the patient. The patient information is transmitted securely using blockchain architecture so that various health practitioners have access to it with the guarantee of data integrity, confidentiality, and access control. The use of Explainable AI (XAI) enables interpretable predictions in machine learning for clinicians and fosters confidence and transparency. Physicians are able to make evidence-based decisions beyond traditional methods since XAI provides the reasons for predictions.

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