location:Home > 2019 VOL.2 Jun No.3 > Study on early warning and adaptive prediction model of hypoglycemia risk in diabetic patients

2019 VOL.2 Jun No.3

  • Title: Study on early warning and adaptive prediction model of hypoglycemia risk in diabetic patients
  • Name: Shumei Liu, Hongying Liu, Wang Rui, Haichuan Dou
  • Company: Department of Endocrinology, First hospital of JiLin university
  • 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, doctors 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 hypoglycemia.

  • Keyword: Prediction model; Early warning of hypoglycemia; Diabetes; ARIMA model;
  • DOI: 10.12250/jpciams2019030125
  • Citation form: Shumei Liu, Hongying Liu, Wang Rui, Haichuan Dou.Study on early warning and adaptive prediction model of hypoglycemia risk in diabetic patients[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 31-36.
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Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16