FUZZY RULE-BASE EXPERT SYSTEM FOR EVALUATION POSSIBILITY OF FATAL ASTHMA

Asthma, a chronic disorder lung disease, has increasing rate in developing countries. Fatal asthma is a sudden exacerbation of asthma threatening the life of asthmatic patients even with the good-controlled asthma. So prediction the risk of fatal asthma is a great contribution decreasing the possibility of asthma mortality and morbidity. In this paper a fuzzy expert system is developed for prediction fatal asthma. Forty rules with the structure of fuzzy antecedent- fuzzy consequent construct the knowledgebase of this system. Main variables of viral infection, Exposure to irritants/allergens, Duration of asthma, Response to treatment, Instability of asthma, Degree of nocturnal symptoms, Intensity of current treatment, Peripheral blood eosinophilia, Value of neutrophil, and Intensity of exacerbation are made the antecedents of the rules. The consequences of these rules are possibility of fatal asthma determined in the interval (0-1). Mamdani fuzzy inference mechanism is used as inference engine in this system. Evaluating the performance of this system at asthma, allergy, immunology research center of Emam Khomeini hospital reinforces the good efficiency of this fuzzy expert system for prediction the possibility of fatal asthma

Keywords:

asthma , fatal asthma , fuzzy expert system