Abstract
In this study, the success of cyrotheraphy and immunotherapy methods on common warts and plantar warts were predicted among 180 patients using machine learning methods. As a classifier, Naive Bayes and k-nearest neighbors with different neighborhood values of k were experimented. Data sets that are online available via Internet were used in the study. As a result, whether the treatment method by considering given features will give positive result could be estimated with the accuracy of 80% by using k-nearest neighbors classifier with the neighborhood value of k=7.
-
Kapsamı
Uluslararası
-
Type
Hakemli
-
Index info
WOS.ISTP
-
Language
Turkish
-
Article Type
None
-
Keywords
wart Naive Bayes classifier k-nearest neighbors classifier machine learning