Choose of Wart Treatment Method Using Naive Bayes and k-Nearest Neighbors Classifiers
Rukiye Uzun, Mualla Toksan, Y Isler, None None
proceeding (Uluslararası, Hakemli) | Yazar(lar): Rukiye Uzun, Mualla Toksan, Y Isler, None None | Yıl: 2018 | Dergi/Kurum: 2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | İndeks: WOS.ISTP | Anahtar Kelimeler: wart, Naive Bayes classifier, k-nearest neighbors classifier, machine learning —
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.