Convolutional neural network to extract the best treatment way of warts based on data mining

Abstract

Cryotherapy and immunotherapy are two common methods to treat warts. This paper aims to determine which treatment methods is more effective in curing common types of warts. For this purpose, the author designed a convolutional neural network (CNN) to predict the effectiveness of wart treatment methods. The cryotherapy and immunotherapy datasets were randomly amplified by data mining rules, and represented as 2D grayscale pseudo images. The results show that the CNN with data mining can effectively predict the wart treatment effects; cryotherapy treatment is better than immunotherapy in curing common types of warts. This research is the first to combine CNN and data mining in predicting the treatment effects of warts.