Study on Early Warning and Adaptive Prediction Model of Hypoglycemia Risk in Diabetic Patients 

Shumei Liu1, Hongying Liu2, Wang Rui3, Haichuan Dou4* 

1Department of Endocrinology, First Hospital of Jilin University, Changchun, 130031, China 

2Department of Rehabilitation, First Hospital of Jilin University, Changchun,130031, China 

3Department of Emergency, First Hospital of Jilin University, Changchun,130031, China 

4Department of Nephrology, First Hospital of Jilin University, Changchun,130031, China 

Abstract: With the improvement of people’s living standard, the number of diabetic patients is increasing, which causes harm to human health. However, the aim of treating diabetic patients in clinical treatment is to stabilize blood glucose. If the future blood glucose concentration of patients can be predicted in advance, doc-tors can take effective measures to stabilize blood sugar before the occurrence of hypoglycemia, which will greatly reduce the harm caused by unstable blood glucose to patients. Therefore, early warning and adaptive prediction model of hypoglycemia risk in diabetic patients is studied. Hypoglycemia data of diabetic patients can be collected scientifically by studying the way of gaining hypoglycemia prediction data. Establishing the early warning and adaptive prediction model can help doctors and patients to reduce the incidence of hypog-lycemia. 

Keywords: Prediction model; Early warning of hypoglycemia; Diabetes; ARIMA model