Effect of Age on the Abdominal Aortic Aneurysm: Fuzzy Logic Analysis

Abstract

Background: The aneurysm refers to the increase in arterial diameter in a localised position and this is characterised by the non-parallelism of the arterial wall. Despite prediction models trying to anticipate the onset of an aneurysm, the limits of their accuracy are often reached. This is due to the poor definition of the factors favouring the development of the aneurysm. In order to take into account this complex process, this study proposes a fuzzy system in the analysis of the effect of each factor. Methods: As the variability of the diameter of the aorta is a function of several uncertain and imprecise factors, this study deals with data relating to a population of 100 patients diagnosed at the level of the service of the UFAS Setif Hospital in Algeria. This study is limited to the effect of age, which is related to the diameter of the abdominal aorta diagnosed. A fuzzy inference analysis system is proposed. As the system is very complex and in an uncertain environment, its fuzzy logic analysis compensates this uncertainty. Results: Once the system is established from the actual values recorded, it becomes possible to introduce the input variables randomly to automatically read the result at the output with maximum precision. Conclusions: In order to avoid the risk of rupture, it is necessary to diagnose the aneurysm according to the patient's age. The introduction of the variables relating to the patient at the entry of the system allows clinicians to have a precise idea about the aneurysm. Note that the majority of cases are diagnosed accidentally in the absence of a screening program.