The Research of Improved Grey GM (1, 1) Model to Predict the Postprandial Glucose in Type 2 Diabetes

Diabetes may result in some complications and increase the risk of many serious health problems. The purpose of clinical treatment is to carefully manage the blood glucose concentration. If the blood glucose concentration is predicted, treatments can be taken in advance to reduce the harm to patient...

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Veröffentlicht in:	BioMed research international 2016-01, Vol.2016 (2016), p.1-6
Hauptverfasser:	Li, Quanzhong, Sun, Changqing, Wei, Fenfen, Wang, Yannian
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Analysis Blood Glucose - metabolism Blood Glucose Self-Monitoring - methods Blood sugar Computer Simulation Diabetes Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - physiopathology Diagnosis, Computer-Assisted - methods Forecasts and trends Glucose Growth models Humans Kalman filters Least-Squares Analysis Metabolic Clearance Rate Models, Biological Models, Statistical Neural networks Physicians Postprandial Period Reproducibility of Results Science Sensitivity and Specificity Type 2 diabetes
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