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Iranian Biomedical Journal، جلد ۲۲، شماره ۵، صفحات ۳۰۳-۳۱۱
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چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Comparing Three Data Mining Algorithms for Identifying the Associated Risk Factors of Type 2 Diabetes
چکیده انگلیسی مقاله Background: Increasing the prevalence of type 2 diabetes has given rise to a global health burden and a concern among health service providers and health administrators. The current study aimed at developing and comparing some statistical models to identify the risk factors associated with type 2 diabetes. In this light, artificial neural network (ANN), support vector machines (SVMs), and multiple logistic regression (MLR) models were applied, using demographic, anthropometric, and biochemical characteristics, on a sample of 9528 individuals from Mashhad City in Iran. Methods: This study has randomly selected 6654 (70%) cases for training and reserved the remaining 2874 (30%) cases for testing. The three methods were compared with the help of ROC curve. Results: The prevalence rate of type 2 diabetes was 14% in our population. The ANN model had 78.7% accuracy, 63.1% sensitivity, and 81.2% specificity. Also, the values of these three parameters were 76.8%, 64.5%, and 78.9%, for SVM and 77.7%, 60.1%, and 80.5% for MLR. The area under the ROC curve was 0.71 for ANN, 0.73 for SVM, and 0.70 for MLR. Conclusion: Our findings showed that ANN performs better than the two models (SVM and MLR) and can be used effectively to identify the associated risk factors of type 2 diabetes.
کلیدواژه‌های انگلیسی مقاله Support vector machine, Data mining, Diabetes type 2
نویسندگان مقاله | Habibollah Esmaeily
Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran


| Maryam Tayefi
Department of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran


| Majid Ghayour-Mobarhan
Biochemistry of Nutrition Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran


| Alireza Amirabadizadeh
Medical Toxicology and Drug Abuse Research Center (MTDRC), Birjand University of Medical Sciences, South Khorasan, Iran
نشانی اینترنتی http://ibj.pasteur.ac.ir/browse.php?a_code=A-10-1-711&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/125/article-125-625695.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Enzymology and Protein Chemistry
نوع مقاله منتشر شده مقاله کامل
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