… The aim of this study is to classify diabetes disease by developing an … The classification
accuracy of LDA-ANFIS was about 84.61 percent. A comparative study of diabetes disease on …

… this review paper is to identify the various soft computing approaches … studies based on
diseases diagnosis and predictions using soft computing techniques are included in this review if …

… techniques have been widely used in developing decision support systems for disease
classification through … In this paper, we propose a predictive method for diseases prediction using …

… for heart disease prediction. In this proposal we are going to do a comparative study on …
’s are grouped by clustering technique and then classified using classification technique. [1] …

… Diagnosing Cancer via Decision Tree, KNN, Support … Classification based pattern analysis
techniques are used in this work for diagnosing the cancer. Several well known classification …

… [6] proposed a comparative study among different feature reduction techniques for evaluating
… The proposed model has composed of the intelligent softcomputing techniques (handling …

… this research, different data mining techniques were studied to enhance the early detection
of heart diseases. Specifically, five classifiers were utilized and implemented using MATLAB …

… Methodology: Data mining and soft computing techniques are effectively used for disease
… data mining and soft computing techniques. Data Mining Techniques: With the explosive …

… is a comparative study on few of the feature selection and feature reduction techniques. …
The soft computing techniques like the Genetic Algorithms (GA), neural networks, and Fuzzy …

… is to predict heart disease prediction using different computational intelligence technique
such as … There are many proposed systems to predict the heart disease, yet we have done this …