- Prediction of Heart disease using deep learning technique i.e. ANN-Artificial Neural Networks. The purpose of this project is to use a Neural networks models, which we are using for improving the accuracy of weak algorithms by combining a couple of classifiers.
- Experiments with this approach were performed using a heart disease dataset. A comparative analytical approach had been executed to decide how the ANNs can be implemented for predicting accuracy in coronary heart ailment.
- The purpose is not only to improve the accuracy of weak class algorithms, but additionally at implementing the algorithm with a clinical dataset, to predict the disease at an early level. Neural network models can be defined and evaluated using the Python Keras deep learning library.
- Our framework was resulted in highly accurate fashions which are tailored for medical actual information and analysis use.
- Our proposed model gives an increase of 2.5% accuracy than existing-model.
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