Wartdiseases are tumors made through the mediation of human Papillomavirus (HPV) and grow on all parts of body. It is grow into internal and external of skin. Factors that increase expansion are: body contact, use of the public showers, working with meat, eczema and a weak immune system. There are many types of warts disease that appears all over the body. And also several treatment methods for that ill health are there. However, those methods have a sequence of steps. The misunderstandings of the sequence for treatment have other problems.To provide effective and customized treatment a physician needs to identify its type. The identified type needs a proper sequence of steps for treatment because they have skin health problems. It‟s endeavoring to classify and give the appropriate treatment since it has many types and scarcity of experts.Therefore, we proposed Knowledge-based classification model to detect wart disease type and stage for a proper diagnosis and decisions.In this study, the developed knowledge based system for classification give effective diagnosis and treatment. There are four commonly challenges of warts types selectedcalled plantar, flat, filiform and common warts in modeling of the proposed study. We useddecision tree model for generate rules from implicit dataclassificationbased on user information in the proposed system. The model classified 93.25% of the average from both user acceptance tests. The system performance test depended on patient record data determined being by expertsand satisfied in system model.