AIHacker Noonabout 8 hours ago
Deep Learning Reshapes Heart Risk Detection
6 min read
Yeshwanth Macha's research uses a hybrid CNN-GRU deep learning architecture for early cardiovascular risk assessment. The workflow applies PCA, SMOTE, and data normalization to prepare clinical datasets before model training. Multiple performance metrics including precision, recall, and F1-score evaluate predictive behavior.
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