Decision tree-based methodology to select a proper approach for wart treatment.

摘要: The human papillomaviruses (HPVs) can be responsible for various types of benign tumors called warts. Although warts grow on all parts the body, common and plantar (as most prevalent warts) principally hands feet soles, respectively. Different treatment approaches such as cryotherapy immunotherapy used to conquer disease. However, best healing method should selected based patient circumstances. This study employs classification regression tree (CART) algorithm develop accurate predictive models capable analyzing response patients having and/or methods. To a CART classifier method, independent parameters including age gender patient, number warts, type wart, surface area time elapsed before are used. In case immunotherapy, in addition above-mentioned variables, induration diameter initial test is also considered. error analysis reveals that implemented provide highest achievable accuracy application interest. Moreover, proposed decision tree-based simple use more reliable, contrast literature mainly originated from fuzzy rule-based method. Hence, introduced this assist both physicians save cost/time improve quality operation.