FUZZY CLUSTERING OF DIFFERENTIAL DIAGNOSIS AND APPLICATION FOR PATIENTS WITH VERTIGO SYMPTOM
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 425
فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
MTCB01_016
تاریخ نمایه سازی: 7 خرداد 1398
چکیده مقاله:
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:
نویسندگان
Sadaf Anbarzadeh
Faculty member Biomedical and electrical Department Sheikh Bahaee University Isfahan, IRAN