Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worldwide. Four out of five CVD deaths are due to heart attacks and strokes, and one-third of these deaths occur prematurely in people under 70 years of age. The dataset contains 11 features that can be used to predict a possible heart disease. Accuracy of ANN Model : 83.15%
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Artificial Neural Network to predict whether a patient has Heart Disease based on 918 patient records with 11 input feature (Chest Pain type, Resting BP, Cholesterol, Resting ECG, Max HR, Exercise Angina, Old peak) nodes, 2 fully connected layers with 20 nodes each, using ReLu as Activation Function and Cross Entropy as Loss Function. The accura…
shubhahegde2002/Heart-Failure-Prediction-Using-PyTorch
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Artificial Neural Network to predict whether a patient has Heart Disease based on 918 patient records with 11 input feature (Chest Pain type, Resting BP, Cholesterol, Resting ECG, Max HR, Exercise Angina, Old peak) nodes, 2 fully connected layers with 20 nodes each, using ReLu as Activation Function and Cross Entropy as Loss Function. The accura…
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