most citedAI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.AI2023★ 4 cited

AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach

Elham Nasarian, Danial Sharifrazi, Saman Mohsenirad +2

The accuracy of coronary artery disease (CAD) diagnosis is dependent on a variety of factors, including demographic, symptom, and medical examination, ECG, and echocardiography dat…