Using R programming, I developed a predictive model for fetal heart rate monitoring cardiotocography using Decision Tree and Random Forest algorithms, achieving an impressive accuracy of 98.01%.
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Using R programming, I developed a predictive model for fetal heart rate monitoring cardiotocography using Decision Tree and Random Forest algorithms, achieving an impressive accuracy of 98.01%.
RayanAbdulnaser/Fetal-heart-rate-disease-prediction-using-Decision-Tree-and-Random-Forest-algorithm-with-R-language
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Using R programming, I developed a predictive model for fetal heart rate monitoring cardiotocography using Decision Tree and Random Forest algorithms, achieving an impressive accuracy of 98.01%.
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