Prediction of Type 2 Diabetes using Optimized ANFIS with Genetic Algorithm and Particle Swarm Optimization
نویسنده
چکیده
This paper proposes two different approaches for the prediction of type2 diabetes. Many different techniques have been used for the prediction of chronic diseases by different researchers. Among them Adaptive Neuro Fuzzy Inference system (ANFIS) is very popular and already used for the prediction of type 2 diabetes. In this paper, the proposed system is optimization of ANFIS using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) which reduces the complexity of ANFIS and increases the accuracy of prediction.
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