Abstract

Accurate and reliable prediction is the only way to prevent the disease transmission. Many machine learning models have been developed for prediction of large scale medical datasets. In this paper, Simplex based Social Spider Optimization method is used for classification of three types of medical datasets like heart disease, echocardiogram and hepatitis. The performance of the model is obtained by using Root Mean Square Error (RMSE) and time.

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