Colon Cancer: Intelligent Modeling of Risk Factors

Author(s): Bouharati K, Hamdi-Cherif M, Mahnane A, Belkhir R, Laouamri S, Bouharati S

Several factors are involved in the development of colon cancer. These factors are characterized by complexity and uncertainty. The system is very complex to analyze using classical mathematical methods. Statistical analysis techniques are used. Due to the complexity of the system, these studies remain in the domain of the probable and the uncertain. A technique based on the principles of artificial intelligence is proposed. The principles of fuzzy inference are applied to the analysis of these factors. The proposed system makes it possible to take care of these incertitude’s inherent to the input variables. The result will be as accurate as possible. Just randomly set the input variables to instantly read the result at the output. This can be a tool to predict and prevent the occurrence of this type of cancer.