HIGHLIGHTS
- who: Saleh Mahdi from the University of have published the research work: Prediction oh heart diseases by using Supervised Machine Learning, in the Journal: (JOURNAL)
- what: In this study the performance and accuracy of several supervised machine learning algorithms were compared for heart disease prediction using a dataset obtained from PhysioNet databases. The study thus concluded that supervised machine learning techniques can be utilized with great success to forecast heart disease displaying exceptional potential for practical application and accuracy. The authors analyzed the factors contributing to heart disease and attempted to predict heart disease using . . .
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