Modelling and Diagnosis of Cervical Cancer Using Adaptive Neuro Fuzzy Inference System

Akinrotimi Akinyemi Omololu, Olugbebi Muyiwa Adeolu

Artificial intelligence and expert systems have gone a long away in proffering solutions to decision making problem in various sectors. One of the major challenges faced today in under developed country is access to quality and fast health facilities, which poses a big threat to the health a condition of patients. Accurate medical diagnosis is one of the major ways to sustain good health and live long. In this paper, a neuro-expert system was developed using advanced neuro-fuzzy inference system, taking into consideration the combination of eight attributes or factors and one output for the prediction and diagnosis of cervical cancer. Cervical cancer dataset obtained from cancer medical experts, was used to build the system. An evaluation performance was so as to carried out to determine the level of predictive and explanatory power of the developed system. The resulting test carried on the systems shows a very good predictive model with an accuracy of 93.54%.