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دسته بندی:
داده کاوی - data mining
سال انتشار:
2018
عنوان انگلیسی مقاله:
Type 2 diabetes mellitus prediction model based on data mining
ترجمه فارسی عنوان مقاله:
مدل پیش بینی دیابت شیرین نوع 2 مبتنی بر داده کاوی
منبع:
Sciencedirect - Elsevier - Informatics in Medicine Unlocked, 10 (2018) 100-107: doi:10:1016/j:imu:2017:12:006
نویسنده:
Han Wu, Shengqi Yang *, Zhangqin Huang, Jian He, Xiaoyi Wang
چکیده انگلیسی:
Due to its continuously increasing occurrence, more and more families are influenced by diabetes mellitus. Most
diabetics know little about their health quality or the risk factors they face prior to diagnosis. In this study, we
have proposed a novel model based on data mining techniques for predicting type 2 diabetes mellitus (T2DM).
The main problems that we are trying to solve are to improve the accuracy of the prediction model, and to make
the model adaptive to more than one dataset. Based on a series of preprocessing procedures, the model is
comprised of two parts, the improved K-means algorithm and the logistic regression algorithm. The Pima Indians
Diabetes Dataset and the Waikato Environment for Knowledge Analysis toolkit were utilized to compare our
results with the results from other researchers. The conclusion shows that the model attained a 3.04% higher
accuracy of prediction than those of other researchers. Moreover, our model ensures that the dataset quality is
sufficient. To further evaluate the performance of our model, we applied it to two other diabetes datasets. Both
experiments results show good performance. As a result, the model is shown to be useful for the realistic health
management of diabetes.
Keywords: Hybrid prediction model ، Data mining ، Diabetes mellitus
قیمت: رایگان
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