Background. By definition, when the abdominal aorta undergoes dilation, this is called an aneurysm. However, this definition depends on the threshold diameter of the aorta reached after dilation. According to angiographic studies, aneurysm is considered when the diameter of the aorta exceeds 30 mm. According to the International Society for Cardiovascular Surgery/Society for Vascular Surgery Ad Hoc Committee, we speak of an aneurysm when the diameter of the infrarenal aorta exceeds 1.5 times the normal diameter. It then becomes necessary to define the normal value of this diameter, which varies from 16 to 23 mm depending on the population concerned. Ultrasound is often used in screening for abdominal aortic aneurysms (AAA) for its simplicity and low cost. This study evaluates the prevalence of abdominal aortic aneurysms in the population at risk in the region of Setif in Algeria. Method and materials. The study concerns a population of The study concerns a population of 902 diagnosed cases, 854 cases are over 50 years old who consented to AAA screening who consented to AAA screening. For each patient, different parameters are taken. Physical and ultrasound examinations are performed. The parameters sex, history of diabetes, dyslipidemia, blood pressure, body mass index, smoking and atherosclerosis are listed. In order to establish an average diameter of the aorta in this population at risk, an intelligent analysis relating these factors to the diameter of the abdominal aorta is applied. Conclusion. As the system is very complex to analyze using classical mathematical techniques, the principles of artificial neural networks come in handy. The rule base that maps the input variables to the diameter of the aorta is created from the database of the performed analyzes. This makes it possible to predict the diameter of the abdominal aorta from the risk factors. Therefore, prevention of abdominal aortic aneurysm will be possible in the population of this geographic area.