Zusammenfassung
In today's world one of the most common diseases are heart disease which its mortality and disability is
high. Therefore, heart disease is one of the biggest health problems in the world. Since the diagnosis of
heart disease in people is very important, a method should be used in the right diagnosis of heart diseases
that have the least errors in heart disease diagnosis. For this reason, in this paper, Probabilistic Neural
Networks (PNNs) for the diagnosis of heart disease from a dataset that includes 303 samples from different
patients is used. In this paper, we have implemented PNN in the MATLAB environment. As well as, the
efficiency criteria in this paper is to maximize accuracy of heart disease diagnosis in the process of training
and testing. According to the Cleveland dataset which contains 303 samples, we found that the accuracy of
training and test accuracy are 87% and 75% respectively.
Nutzer