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Machine learning-based classification of valvular heart disease using cardiovascular risk factors.
Sci Rep
October 2024
Department of Statistics, Metropolitan International University, Kampala, Uganda.
Article Synopsis
- Valvular Heart Disease (VHD) is a major cause of death, especially in older people, and this study explores the unknown risk factors associated with it.
- The research utilizes machine learning techniques, including various classifiers like SVM, to analyze VHD cases and assess the effectiveness of these methods in diagnosis.
- Findings indicate that combining SVM with Principal Component Analysis (PCA) offers the best performance, emphasizing the need for a comprehensive strategy to address the prevalence of VHD based on identified risk factors.