@article{article_759514, title={Prediction of the Success of Wart Treatment Methods}, journal={Karaelmas Fen ve Mühendislik Dergisi}, volume={10}, pages={44–52}, year={2020}, author={Uzun, Rukiye}, keywords={Kriyoterapi,Aşırı öğrenme makinesi}, abstract={The wart is a dermatosis originated by Human Papilloma Virus. People can be infected by direct or indirect contact. Almost all age groups, especially children and young adults suffer from warts. Recently, new treatment methods including cryotherapy and immunotherapy have been developed as alternatives to conventional methods. Although the treatment decision process is very important, there is no validated decision strategy yet except for only a few studies. In this study, an expert system is proposed to predict whether the selected wart treatment method will be successful or not. The publicly available datasets are applied to the Multi-Layer Perceptron and the Extreme Learning Machine classification algorithms. We compute the classifier performances by the 10-fold cross-validation method. As a result, the multi-layer perceptron approach results in 78.95% of sensitivity, 98.60% of specificity, and 94.45% of accuracy to predict the success of a wart treatment method.}, number={1}, publisher={Zonguldak Bülent Ecevit Üniversitesi}