Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy

摘要: Human papillomavirus (HPV) infection is related to frequent cases of cervical cancer and genital condyloma in humans. Up now, numerous methods have come into existence for the prevention treatment this disease. In context, paper aims help predict susceptibility patient forms using both cryotherapy immunotherapy. These studies facilitate choice medications, which can be painful embarrassing patients who warts on intimate parts. However, use intelligent models generates efficient results but does not allow a better interpretation results. To solve problem, we present method fuzzy neural network (FNN). A hybrid model capable solving complex problems extracting knowledge from database will pruned through F-score techniques perform pattern classification warts, produce specialist system based if/then rules, according experience obtained collected medical research. Finally, binary pattern-classification tests realized FNN compared with other commonly used tasks capture greater accuracy than current state art type problem (84.32% immunotherapy, 88.64% cryotherapy), extract rules database. It was found that approach networks systems an excellent tool aid prediction immunotherapy treatments.