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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.20388876 |
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Table of Contents:
- <h2>First Release</h2> <p>Complete deep learning pipeline for heart health modeling using TensorFlow and Keras.</p> <h3>What is included</h3> <ul> <li>Part A: Heart rate prediction regression neural network</li> <li>Part B: Arrhythmia detection classification neural network</li> <li>8 output figures covering EDA, evaluation dashboards, and architecture diagrams</li> <li>Requirements file for reproducibility</li> </ul> <h3>Model Performance</h3> <p>Part A - Regression:</p> <ul> <li>MAE : 3.80 BPM</li> <li>RMSE : 4.81 BPM</li> <li>R2 : 0.8682</li> </ul> <p>Part B - Classification:</p> <ul> <li>Accuracy : 99.5%</li> <li>ROC-AUC : 0.9999</li> </ul> <h3>Classes Detected</h3> <p>Normal, Atrial Fibrillation, Bradycardia, Tachycardia, PVC</p>