Classification of Heart Disease Using a Stacking Framework of BiGRU, BiLSTM, and XGBoost
This study aims to develop a heart disease classification model using an ensemble approach by leveraging a Stacking framework that combines BiGRU, BiLSTM, and XGBoost models. In this research, the BiGRU and BiLSTM models are utilized as base models to extract temporal and spatial features from se...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2053/ http://eprints.intimal.edu.my/2053/1/jods2024_54.pdf http://eprints.intimal.edu.my/2053/2/594 |