Blockchain integrated multi-agent system for breast cancer diagnosis

<span>The integration of multi-agent system and blockchain technology can be beneficial to healthcare applications by providing intelligent data analysis with security. This paper presents an architecture that integrates learning support breast cancer diagnosis in a secured manner. The proposed is based on parallel hybrid fuzzy logic approach for supporting the prediction disease. showed classification accuracy 96.49% when testing Wisconsin Diagnostic Breast Cancer dataset. used provide agent security ensure only trusted reputed agents are participated decision-making process.</span>