عنوان	Classifying People Based on Fat by Neuro-Fuzzy System
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	Learning algorithm, body fat category, data mining, ANFIS
چکیده	Introduction: Using BIA for body fat calculation is a normal method. The body fat factor is one of the most useful measures for assessing the risk of obesity. In this research, the category of body fat is predicted. This research does not use any device. ANFIS system which is widely used in medical sciences, has been used to predict the exact category of fat. Material &Methods: A nutrition clinic in Tehran has collected 610 samples from its patients. ANFIS was used to estimate body fat percentage. Furthermore, for evaluating the proposed method, precision method is used. Results: The results of experiments show that the proposed method for estimating the category of body fat has 0.1138 mean square error and accuracy of 90.83%. Therefore the proposed method can estimate the category of body fat of people accurately. Discussion & Conclusion: There are some smart tools that use machine learning techniques to predict the class of fat people without using costly tools which play an important role in people's health and therefore play an effective role in preventing chronic diseases. The results of this research show that the proposed method can estimate accurately the category of body fat without any device. Therefore, it reduces diagnosis price.
پژوهشگران	محمدرضا ولی زاده (نفر اول)، علی کرمشاهی (نفر دوم)، کوروش جعفریان (نفر سوم)، اکبر عزیزی فر (نفر چهارم)