کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4943438 | 1437634 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Development of a fuzzy expert system for the nephropathy control assessment in patients with type 2 diabetes mellitus
ترجمه فارسی عنوان
توسعه یک سیستم متخصص فازی برای ارزیابی کنترل نفروپاتی در بیماران مبتلا به دیابت نوع 2
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کلمات کلیدی
ANNFeSCIST1DMCpGT2DMGFRESRD یا end stage renal disease - بیماری کلیوی در مرحله نهایی End-stage renal disease - بیماری کلیوی در مرحله پایانیExpertise - تخصصClinical practice guidelines - دستورالعمل های عمل بالینیtype 1 diabetes mellitus - دیابت نوع 1Type 2 diabetes mellitus - دیابت نوع دوResponse surface - سطح پاسخFuzzy expert system - سیستم متخصص فازیartificial neural networks - شبکه های عصبی مصنوعیconfidence intervals - فاصله اطمینانFuzzy logic - منطق فازیGlomerular filtration rate - نرخ فیلتراسیون گلومرولی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Diabetic nephropathy is a life-threatening complication if not controlled properly. Early detection and effective control prevent its progression. In this study, the development of a Fuzzy Expert System (FES) is proposed to help doctors assess the nephropathy control in patients with Type 2 Diabetes Mellitus (T2DM). The study is based on a FES that was developed with the use of Clinical Practice Guidelines (CPG), data bases and the expertise of a team of doctors. It considers the use of input variables such as Glomerular Filtration Rate (GFR), serum creatinine, blood glucose, Type 2 Diabetes Mellitus Age (T2DMA), uric acid, hypertension and dyslipidemia. All these factors, give an efficient nephropathy control assessment. Sixty tests were performed using the expertise of a team of doctors, the expected results were compared with those estimated by the FES (using the same cases), and it was observed that the FES succeeds in up to 93.33% of the cases. The response surface analysis shows that GFR, serum creatinine and hypertension have a greater impact in the nephropathy control. This system supports the doctors in nephropathy control, but it does not estimate the renal failure stages. Nephropathy control is a clinical problem that includes uncertainty and inaccuracy, so the use of a FES is recommended to overcome this problem, since fuzzy systems help to assess the inherent uncertainty degree.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 72, 15 April 2017, Pages 335-343
Journal: Expert Systems with Applications - Volume 72, 15 April 2017, Pages 335-343
نویسندگان
Ramiro Meza-Palacios, Alberto A. Aguilar-Lasserre, Enrique L. Ureña-BogarÃn, Carlos F. Vázquez-RodrÃguez, Rubén Posada-Gómez, ArmÃn Trujillo-Mata,