Analysis Of Pulmonary Hydatid Cyst Factors Using Fuzzy Logic System
Volume 1 - Issue 4, October 2017 Edition
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Author(s)
Ouahab Ilhem, Behar Abdelaziz, Bouharati Khaoula, Bouaoud Souad, Hamdi-Cherif Mokhtar
Keywords
Hydatic cyst; zoonosis; epidemiology; surgery; fuzzy logic.
Abstract
The diagnosis of the hydatic cyst is relatively easy. Medical treatment is often the most recommended. The aim of this study is to evaluate the management of hydatid cyst interventions in our department and to analyze the results of our work. The study concerns 90 cases treated at the level of the surgery department of the university hospital of Setif in Algeria. The study period spans seven years and four months. The study concerned the epidemiological aspect, the clinical aspect and the therapeutic aspect. The hydatid cyst of the lung is an endemic zoonosis in our country. Contact with dogs has been found in almost all of our patients. The lung is most affected after the liver. Although the hydatid cyst of the lung is the most common, it is necessary to look for localization in particular liver. The hydatid cyst of the lung evolves spontaneously towards complications. Surgery is the reference treatment. The results of our interventions are analyzed by a technique of artificial intelligence in particular the principles of the fuzzy inference in view of the complexity and the vagueness of the factors that intervene in the process.
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