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Huge amount of medical data is available today. In order to predict the disease we need a reliable method to diagnose the disease. In this paper we introduce a technique known as FFBAT-ANN prediction algorithm which is categorized as Feature reduction and Diabetes disease classification and such a process is carried out using LPP algorithm and FFBATartificial neural network classifier respectively. Initially, LPP algorithm is employed to produce fuzzy rules by recognizing the attributes corresponding to the diabetes disease. Later on, the classification is carried out by blending FFBAT optimization technique with Artificial Neural Network classifier. Finally, the experiment is performed on diabetes dataset. The experimental result proves that the performance of our proposed method outperforms the other conventional methods.

Hybrid Firefly-Bat Optimized Fuzzy Artificial Neural Network Based Classifier for Diabetes Diagnosis