Classification of Heart Disease Using a Stacking Framework of BiGRU,
BiLSTM, and XGBoost

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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...

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Bibliographic Details
Main Authors:	Haldi, Budiman, Silvia, Ratna, M., Muflih, Usman, Syapotro, Muhammad, Hamdani, M.Rezqy, Noor Ridha
Format:	Article
Language:	English English
Published:	INTI International University 2024
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software RC0254 Neoplasms. Tumors. Oncology (including Cancer) T Technology (General)
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

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