Factor Analysis and Model Calibration of Flash Glucose Monitoring System
Objective:To explore the factors of blood glucose detection error in continuous blood glucose monitoring system and establish a calibration model.Methods:With actual patients as the research object,the blood glucose concentration of interstitial fluid and the peripheral blood glucose concentration of conventional fingertip blood were measured by the auxiliary quick sensing scanning glucose meter,and the feature screening was performed by Lasso regression model.The linear model was used as an example to construct a classification calibration model.Conclusion:Gender,drinking history,age,family history,detection time,weight and smoking history all affect the blood glu-cose detection errors of continuous blood glucose monitoring system,which can be included in the calibration model to improve the accuracy of blood glucose detection.
万方数据
维普
