Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital

Table 2

Comparison of the results of different studies.

Author	Methods/classifiers	Highest accuracy (%)
[35]	RF, DT, and LR	92.1
[26]	A.B., E.T., L.R., MNB, CART, LDA, SVM, RF, and XGB	90
[38]	Ensemble methods with CART	95
[39]	Naive Bayesian	95
[40]	Random forest	94
	LR, KNN, SVM, and RF	99
[23]	DT, LR, XGB, NB, GB, RF, SVM, and PEM	96.75
[24]	Extreme gradient boosting	81
[31]	SVM	97
[35]	Random forest, SVM, naive Bayes, and decision tree	97
[36]	Neural networks	89.3
This research	SVM	94.3