Improving the Heart Disease Detection and Patients’ Survival using Supervised Infinite Feature Selection and Improved Weighted Random Forest
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DOI: 10.1109/access.2022.3185129
Abstract: Heart disease is the leading cause of death worldwide. A Machine Learning (ML) system can detect heart disease in the early stages to mitigate mortality rates based on clinical data. However, the class imbalance and… read more here.
Keywords: disease detection; supervised infinite; patients survival; heart ... See more keywords