Table 12.

Comparison of the results of the proposed algorithm with similar algorithms

Method	Accuracy
Proposed algorithm with quantum neural network	98.57%
Fuzzy-evidential based theories3	91.58%
Neural network4	84%
Bayesian classification and neural network5	80%
Probability theory (logistic regression)6	77%
Framingham risk score41	19.22%