Coronary Artery Disease Detection in Early Stage Using Machine Learning
Dataset from Kaggle: https://www.kaggle.com/datasets/arezaei81/heartcsv
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Using the open-source Cleveland Dataset consisting of 14 different attributes used three classifications namely, Artificial Neural Network, Logistic Regression and Random Forest. It is a user-friendly prototype using CNNs, which is well-suited for image processing to evaluate the accuracy, recall and efficiency of the different algorithms.
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Using the open-source Cleveland Dataset consisting of 14 different attributes used three classifications namely, Artificial Neural Network, Logistic Regression and Random Forest. It is a user-friendly prototype using CNNs, which is well-suited for image processing to evaluate the accuracy, recall and efficiency of the different algorithms.
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