FUZZY CLUSTERING OF DIFFERENTIAL DIAGNOSIS AND APPLICATION FOR PATIENTS WITH VERTIGO SYMPTOM

nowadays, intelligent diseases diagnoses systems arefavorable for human. These systems could help them to detecttheir disease according to their symptoms at primary level. Itcould lead them to refer to a related specialist and be cured. Notonly does it help them to recognize their diseases soon but also itassists them to save their time and expenses. In this article, wehave consulted with different physicians and analyzed thediagnosis procedure about a wide-spread problem, vertigo. It isone of the most common subsets of dizziness . Then, wemodeled them with a fuzzy expert system. We tried to combinehuman expertise and experience with modern technology. Theresults show more than 84 percent accuracy. By generalizing thismethod for other diseases, the conventional diagnosis could bereplaced by this method with high level of confidence. Thisintelligent system helps patients to recognize the base and causeof their dizziness and treat it as soon as possible with minimumnumber of questions.

کلیدواژه ها:

fuzzy ، fuzzifier ، defuzzifier ، interferenc engine ، vertigo