A Study on Predictive Modeling for Disease Prediction Based on Soft Computing Approaches

Data mining is the process of analyzing data based on different perspectives and summarizing it into useful information. The use of medical datasets has attracted the attention of researchers all over the world. Data mining techniques have been widely employed through a set of medical datasets to develop decision support systems for disease prediction. The knowledge based system can be used as a clinical analytical method to assist medical practitioners in healthcare practice. In this paper a study of different soft computing methods for disease prediction is done.