Siğil Tedavisinde Kullanılan Immunotherapy Yönteminin Uygunluğunun Bayes Yöntemi ile Tespiti

Title

Determination of the Suitability of Immunotherapy Method Used in the Wart Treatment Using Bayes Method


Abstract

Wart disease is a common occurrence in medicine. According to their characteristics, treatment with several different methods is possible. When the treatment method to be applied is selected, the method which is deemed most appropriate is selected according to the features accepted in the literature. In this study, according to the characteristics determined in the literature, a preliminary evaluation was made with the data mining methods on the immunotherapy method applied to the patient and the evaluation success rate was increased. This will help the doctor to decide whether to choose the immunotherapy method when choosing a treatment method. Various methods have been tested on data sets in order to increase the success rate. According to the observed results, the highest success rate was 85.55% in bayes net classification. The data set used in the study is the results of a scientific research conducted in the dermatology clinic of the Iranian Ghaem Hospital, published in the UCI machine learning repository.The Bayesian net algorithm was implemented using the Waikato Environment for Knowledge Analysis (WEKA).


Editor: H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey

Received: August 19, 2018, Accepted: October 18, 2018, Published: November 10, 2018
Copyright: © 2018 IMISC Çelik et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.