techniques. The Classification algorithms adopts and makes use of decision trees, Bayesian classifier, back propagation neural network, multivariate adaptive regression splines,Adaptive-network-based fuzzy inference system ,genetic algorithm, Fuzzy rulebase,Association rule and k means clustering for prediction of the diseases mentioned above. It consists of attributes containing patient‘s medical history and symptoms. The records used for this study of prediction of diseases are cleaned and filtered with the data‘s which are irrelevant and aims to analyze the predictive/descriptive data mining techniques developed for the diagnosis of life threatening diseases.