Effect of Hyperlipidemia on Aneurysm: Fuzzy Inference Analysis

Abstract

Introduction: The abdominal aortic aneurysm is a silent disease. This disease is often detected by accident when diagnosing another disease. There are many factors that promote this disease. These factors are mainly related to age. Doppler ultrasound can detect this disease. But often and for more details, we resort to the scanner. Since the factors that characterize this disease are multiple and complex, this study proposes to analyze them using artificial intelligence techniques. Method: During a period of two years between 2019 and 2020, around 100 patients are diagnosed at the Sétif hospital in Algeria as well as in other private clinics in the city. At each diagnosis, the diameter of the aorta is measured and related to hyperlipidemia. A system of analysis using the principles of fuzzy inference is proposed in the data processing. Result: With the development of this application, it becomes possible to introduce the variables of hyperlipidemia randomly at the input of the system to automatically read the diameter of the abdominal aorta possibly planned. Conclusion: By considering hyperlipidemia as a fuzzy variable, because it is a function of other complex physiological parameters, this fuzzy analysis makes it possible to compensate for these uncertainties. The diameter of the abdominal aorta predicted for the hyperlipidemia will be as precise as possible. This tool can be considered as a preventive aid for the aneurysm.