ECG-Lens, a complex CNN, achieves 80% accuracy and 90% ROC-AUC on PTB-XL ECG classification, outperforming Decision Tree, Random Forest, Logistic Regression, simple CNN, and LSTM.
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ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset
ECG-Lens, a complex CNN, achieves 80% accuracy and 90% ROC-AUC on PTB-XL ECG classification, outperforming Decision Tree, Random Forest, Logistic Regression, simple CNN, and LSTM.