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Diagnosis of heart disease using oversampling methods and decision tree classifier in cardiology
PURPOSE: Heart disease is one of the most prevalent and critical diseases that endangers the lives of human beings. In addition to clinical diagnosis, machine learning and deep learning-based approaches are vital in the diagnosis of heart disease. METHOD: This paper proposes a balanced and optimized...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792315/ http://dx.doi.org/10.1007/s42600-022-00253-9 |