Um modelo Fuzzy para estimar o risco de desenvolver câncer de colo de útero

Abstract

Cervical cancer is the fourth type of cancer that kills more women in the world and in Brazil. There are almost 600.000 cases per year in which more than half die. Despite this high incidence rate, the probability of recuperation in cases with early detection is equally high. In view of this, the proposal of this work is the development of a mathematical computational model that can be useful to estimate the risk of a person developing the disease and thus help the specialists in a possible prediction and prevention of this disease. To build the model the theory of fuzzy logical sets was used. Initially was studied the main risk factors associated to the development of the cancer and created linguistics variables to subsidize the building of the fuzzy rules system. By selecting the variables age, age of the first sexual relationship, parent’s historical of cancer, presence of ISTs, smoking, amount of male partners in the last year and HPV vaccination is possible to estimate the risk of a patient developer cervical cancer. They can be classified into five categories: very low, low, moderate, high and very high. Besides that, a mobile application was developed for data capture and future integration with the model for risk estimation.