Design of a Fuzzy System Based on Lookup Table for Diagnosis and Predicting of Metabolic Syndrome in Preschoolers, Children, and Adolescents
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 136
This Paper With 20 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_COAM-6-1_005
تاریخ نمایه سازی: 30 بهمن 1401
Abstract:
The purpose of this study was to provide a fuzzy system for predicting and diagnosing metabolic syndrome (MetS) in preschoolers, children, and adolescents. In this study, previous research on the factors affecting metabolic syndrome, especially in children, and adolescents, has been considered. After integrating the initial variables, a fuzzy system has been designed with ۸ data on age, waist size, systole blood pressure, diastole blood pressure, body mass index (BMI), waist-to-height ratio, nutrition, and abdominal obesity. Ultimately, the system gives us an output that diagnoses the health status of a child or adolescent with MetS or predicts the possibility of a person contracting the disease in the future. The system is designed based on the data of ۱۳۰۰ persons participating in the fifth study of the program for monitoring and prevention of non-communicable diseases of children, and Adolescents in Tehran and Isfahan provinces that ۱۰۵۰ data were used as training data and ۲۵۰ data as test data that used to test the rules and output of the system. After reviewing the rules and eliminating similar or contradictory rules using their degree calculation, finally, the system was designed with ۴۵ rules, a multiplication inference engine, a single fuzzifier, and a centroid defuzzifier. Then the system was evaluated using the confusion matrix accuracy, sensitivity, and specificity. Our analysis shows that this method, with an error rate of less than ۴ percent more accurate than other methods, can predict and diagnose MetS in children.
Keywords:
Authors
Mohammad Dehghandar
Department of Mathematics, Payame Noor University (PNU), P.O. Box. ۱۹۳۹۵-۴۶۹۷, Tehran, Iran
Ghasem Ahmadi
Department of Mathematics, Payame Noor University (PNU), P.O. Box. ۱۹۳۹۵-۴۶۹۷, Tehran, Iran
Heydar Aghebatbeen Monfared
Department of Mathematics, Payame Noor University (PNU), P.O. Box. ۱۹۳۹۵-۴۶۹۷, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :