Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model

Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model Publisher

Shafaei Bajestani N¹ ; Vahidian Kamyad A¹ ; Nasli Esfahani E² ; Zare A²

Show Affiliations

1. Department of Electrical Engineering, Science And Research Branch, Islamic Azad University, Tehran, Iran
2. Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: Biocybernetics and Biomedical Engineering Published:2017

Abstract

Choosing a proper method to predict and timely prevent the complications of diabetes could be considered a significant step toward optimally controlling the disease. Since in medical research only small sample sizes of data are available and medical data always includes high levels of uncertainty and ambiguity, a type-2 fuzzy regression model seems to be an appropriate procedure for finding the relationship between outcome and explanatory variables in medical decision-making. In this paper, a new type-2 fuzzy regression model based on type-2 fuzzy time series concepts is used to forecast nephropathy in diabetic patients. Results in two examples show model efficiency. The use of such models in diabetes clinics is proposed. © 2017 Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences

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Ensieh Nasli Esfahani (1)

Style	Citing Format
MLA	Shafaei Bajestani N, et al.. "Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model." Biocybernetics and Biomedical Engineering, vol. 37, no. 2, 2017, pp. 281-289.
APA	Shafaei Bajestani N, Vahidian Kamyad A, Nasli Esfahani E, Zare A (2017). Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model. Biocybernetics and Biomedical Engineering, 37(2), 281-289.
Chicago	Shafaei Bajestani N, Vahidian Kamyad A, Nasli Esfahani E, Zare A. "Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model." Biocybernetics and Biomedical Engineering 37, no. 2 (2017): 281-289.
Harvard	Shafaei Bajestani N et al. (2017) 'Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model', Biocybernetics and Biomedical Engineering, 37(2), pp. 281-289.
Vancouver	Shafaei Bajestani N, Vahidian Kamyad A, Nasli Esfahani E, Zare A. Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model. Biocybernetics and Biomedical Engineering. 2017;37(2):281-289.
BibTex	@article{ author = {Shafaei Bajestani N and Vahidian Kamyad A and Nasli Esfahani E and Zare A}, title = {Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model}, journal = {Biocybernetics and Biomedical Engineering}, volume = {37}, number = {2}, pages = {281-289}, year = {2017} }
RIS	TY - JOUR AU - Shafaei Bajestani N AU - Vahidian Kamyad A AU - Nasli Esfahani E AU - Zare A TI - Nephropathy Forecasting in Diabetic Patients Using a Ga-Based Type-2 Fuzzy Regression Model JO - Biocybernetics and Biomedical Engineering VL - 37 IS - 2 SP - 281 EP - 289 PY - 2017 ER -

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