The paper aims to propose a distributed method for machine learning models and its application for medical data analysis. The\ngreat challenge in the medicine field is to provide a scalable image processing model, which integrates the computing processing\nrequirements and computing-aided medical decision making. The proposed Fuzzy logic method is based on a distributed\napproach of type-2 Fuzzy logic algorithm and merges the HPC (High Performance Computing) and cognitive aspect on one\nmodel. Accordingly, the method is assigned to be implemented on big data analysis and data science prediction models for\nhealthcare applications. The paper focuses on the proposed distributed Type-2 Fuzzy Logic (DT2FL) method and its application\nfor MRI data analysis under a massively parallel and distributed virtual mobile agent architecture. Indeed, the paper presents some\nexperimental results which highlight the accuracy and efficiency of the proposed method.
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