A Novel Classification Indicator of Type 1 and Type 2 Diabetes in China

作者：Wang, Yannian; Liu, Shanshan; Chen, Ruoxi; Chen, Zhongning; Yuan, Jinlei^*; Li, Quanzhong^*

来源：Scientific Reports, 2017, 7(1): 17420.

DOI：10.1038/s41598-017-17433-8

• SYSTEM

Because of the differences of treatment, it is extremely important to classify the types of diabetes, especially for the diagnosis made by clinician. In this study, we proposed a novel scheme calculating an indicator of classifying diabetes, which contains two stages: the first is a model of feature extraction, 17 features are automatically extracted from the curve of glucose concentration acquired by continuous glucose monitoring system (CGM); the second is a model of diabetes parameter regression based on an ensemble learning algorithm named double-Class AdaBoost. 1050 curves of glucose concentration of type 1 and type 2 diabetics were acquired at the Department of Endocrinology in People's Hospital of Zhengzhou University China, and an upper threshold mu was set to 7 mmol/L, 8 mmol/L, 9 mmol/L, 10 mmo/L, and 11 mmol/L respectively according to the guideline of WHO. The experiments show that the coincidence rate of our scheme and clinical diagnosis is 90.3%. The novel indicator extends the criteria in diagnosing types of diabetes and provides doctors with a scalar to classify diabetes of type 1 and type 2.

• 出版日期2017-12-12
• 单位郑州大学