Table 8.

Comparative analysis of existing models on a dataset of 400 patients each with 24 attributes [2,27].

Method	Accuracy	Recall	Precision	F-Measure
Logistic regression [28]	91.8	1	0.98	0.98
KNN [29]	92.7	0.88	0.98	0.92
Naïve Bayes [30]	95.21%	0.92	1.00	0.94
SVM [31]	92.32	0.87	0.96	0.93
Decision tree [32]	93.45	0.95	1.00	0.96
Proposed method [33]	97.54	0.99	1.00	1.0

KNN: k-nearest neighbors algorithm; SVM: support vector machines.