… 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 are … The objective of this study
is to predict heart disease with … Chakraborty, Study on leaf segmentation using k-means and …

… 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 (…

… 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 …

… 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 …

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

… authors proposed k-means clustering algorithm for predicting … methodologies embrace
methods such as Neural networks, … order to predict heart disease in a big data environment. 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 …