9th International Conference on ICT for Sustainable Development

Authors - Shyam Desai, Shridhar Naragund, Ravindra Radder, Satish chikkamath, Nirmala S R, Suneeta V Budihal
Abstract - Now days heart failure is the main issue because of food habits and the lifestyle of the people. The number of people losing life due to heart failure is increasing every year. This demands for the early prediction to treat and manage heart failure. Many researchers worked on this issue based on ML models. In our work, we are using a deep learning technique that is an artificial neural network (ANN) and ML models-KNN, SVM, Logistic regression, Gaussian Naive Bayes. ANN model has performed with better accuracy compared to ML models. We achieved higher accuracy compared to previous works and we have developed user friendly GUI for our model. This GUI predicts heart failure based on given features.