Enhancing Heart Disease Prediction with Federated Learning and Blockchain Integration
Federated learning offers a framework for developing local models across institutions while safeguarding sensitive data. This paper introduces a novel approach for heart disease prediction using the TabNet model, which combines the strengths of tree-based models and deep neural networks. Our study u...
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| Main Authors: | Yazan Otoum, Chaosheng Hu, Eyad Haj Said, Amiya Nayak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/16/10/372 |
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