Predicting the success of wart treatment methods using decision tree based fuzzy informative images

摘要: Abstract Warts are small, rough, benign tumours caused by human papillomavirus (HPV). A challenge is predicting the success of wart treatment methods because may vary depending on patient and features disease. Recently, a machine learning based expert prediction system related rules were proposed. However, this not satisfactory should be improved. Furthermore, medical experts find it difficult to interpret suggested system. The decision tree-based method was accordingly used in study determine methods. According findings, rate varied from 90 95% according method; these rates higher than previously reported. tree that determined can transformed into images visually as function age time elapsed since disease appearance. This provides for simple more accurate interpretation experts. now predictable percentage.