Fuzzy inference analysis of the arterial hypertension effect on aneurysm

Abstract

BACKGROUND: Several factors are at the root of the aneurysm. This disease is characterized by the loss of parallelism of the abdominal aorta, which widens to a breaking point. This anomaly is silent, and it is discovered by accident during the diagnosis of another patient. High blood pressure is often associated with the aneurysm. The age factor is directly linked to other factors that are often poorly understood. SUBJECTS AND METHODS: This study proposes the analysis of these factors by artificial intelligence techniques, in particular fuzzy analysis. This mode of reasoning compensates for the uncertainties inherent in the process. A fuzzy system is established, allowing factors recorded from 100 diagnosed patients to be entered as input variables to the system to read the predicted aortic diameter. RESULTS: The result at the output of the system will be as precise as possible, because, it is calculated from the aggregation of all the variables. This study compensates for imprecision and uncertainty by considering blood pressure as an imprecise and therefore fuzzy variable CONCLUSIONS: The result at the output of the system will be as precise as possible, because it is calculated from the aggregation of all the variables. In the absence of a systematic screening program, this system can be a tool to help prevent this disease.

Keywords

• aneurysm
• blood pressure
• data analysis
• fuzzy logic