| _version_ | 1866902230671556608 |
|---|---|
| author | Khan Shagufa |
| author_facet | Khan Shagufa |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20388876 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | randomthingsonlineatsk-cloud/heart-rate-neural-network: v1.0.0 - Heart Rate Neural Network Model Khan Shagufa <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> |
| title | randomthingsonlineatsk-cloud/heart-rate-neural-network: v1.0.0 - Heart Rate Neural Network Model |
| url | https://doi.org/10.5281/zenodo.20388876 |