Improving Heart Disease Prediction Using Random Forest and AdaBoost Algorithms
heart disease is a major cause of death worldwide. Thus, diagnosis and prediction of heart disease remain mandatory. Clinical decision support systems based on machine learning techniques have become the primary tool to assist clinicians and contribute to automated diagnosis. This paper aims to pred...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
International Association of Online Engineering (IAOE)
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/b31d3bf5b7984135baf0aba3dd589769 |
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