… k-means algorithms, MAFIA algorithm, Decision Tree classification for prediction of heart
disease… Authors have presented a new hybrid model of Neural networks and genetic algorithms …

… are used in which artificial neural networks and decision trees … The objective of this study
is to predict heart disease with … mining approaches some parameters and identifies coronary …

… predict heart disease using unsupervised K-means clustering algorithm. Our proposed model
first determines an optimal value of K using the Silhouette method to form … neural network. …

… neural networks for grouping attributes and prediction[3]. The paper concentrates on
producing higher accuracy of the prototype[2]. Ripan, RC, Sarker, IH, Hossain, SMM et al. …

… that 80% of the cases needed to predict positive and negative. When … A Hybrid Approach
Using the k‐means and Genetic … using hybrid technique K-means and artificial neural network (…

… Syndrome based on artificial neural network. As the first … -organized prediction method
to resolve and remove the unfamiliar facts of heart illness using fusion arrangement of K-means …

… , and artificial neural networks, are applied in cardiac disease … Example-Using k-means
clustering, researchers were able … groupings according to their heart disease risk factors in a …

… neighbour (KNN), artificial neural networks (ANNs) and decision … on K-means traditional
unsupervised learning approaches … measures the performance of hybrid methods, and the third …

… hybrid model, which is based on support vector machine and k-means algorithm for heart
disease prediction… of random forest and neural network for heart disease prediction. The …

… a neural network for prompt diagnosis of heart failure summing up that the deep learning
models adapted for finer results in terms of detection of heart failure … to anticipate heart failure in …