Determination Wart Treatment Method Using Data Mining Technique

Abstract

Abstract Wart disease is a benign tumor that can grow on all parts of human skin. Although this wart disease belongs to a type of benign tumor, this wart disease can interfere with physical appearance and disturb the psychological sufferers if the infected part of the skin is the area around the face. This wart disease will also be very dangerous if there is infection in vital parts of the body such as the genitals. For treatment or treatment of wart harm, two methods are used: immunotherapy and cryotherapy. However, until now it is still unknown which treatment is better for patients with this wart disease. It has long been known that data mining is a method that is widely used in the health world to obtain valuable knowledge from medical data sets. Data Mining is used to classify and detect early diseases and choose the optimal type of treatment for warts. Data mining is able to find patterns and predict the trends of events. In this study four data mining methods will be used, namely the neural network, naive Bayes, SVM and K-NN. from the results of the study obtained the best method for processing the wart dataset is neural network