论文标题
作为糖尿病风险模型的正常血糖和血糖指数的验证研究
A validation study of normoglycemia and dysglycemia indices as a diabetes risk model
论文作者
论文摘要
在这项工作中，我们测试了峰葡萄糖浓度（$ a $）和葡萄糖去除率的平均表现（$α$），因为在2017年至2019年之间，在墨西哥总医院监测的人口中，正常血糖和血糖症指数是墨西哥综合医院的人口。墨西哥总医院的1911年志愿者患者总共考虑了墨西哥综合医院。 1282名女性患者年龄从17至80岁不等，629名男性患者年龄从18岁到79岁不等。对于每位志愿者，都会收集OGTT数据，并在Ackerman的模型中估算指标。使用线性内核进行了二元分离，使用支撑载体机对正常血糖和恶化患者进行了分离。分类指数成功为83 \％。可以得出的糖尿病状况和从正常血糖到T2DM的发展。分类指数，$ a $和$α$可以被视为患者的指标，并用于检测糖尿病风险。同样，还引入了葡萄糖 - 胰岛素调节模型的适用性标准。显示了Ackerman模型的性能。
In this work, we test the performance of Peak glucose concentration ($A$) and average of glucose removal rates ($α$), as normoglycemia and dysglycemia indices on a population monitored at the Mexico General Hospital between the years 2017 - 2019. A total of 1911 volunteer patients at the Mexico General Hospital are considered. 1282 female patients age ranging from 17 to 80 years old, and 629 male patients age ranging from 18 to 79 years old. For each volunteer, OGTT data is gathered and indices are estimated in Ackerman's model. A binary separation of normoglycemic and disglycemic patients using a Support Vector Machine with a linear kernel is carried out. Classification indices are successful for 83\%. Population clusters on diabetic conditions and progression from Normoglycemic to T2DM may be concluded. The classification indices, $A$ and $α$ may be regarded as patient's indices and used to detect diabetes risk. Also, criteria for the applicability of glucose-insulin regulation models are introduced. The performance of Ackerman's model is shown.
