![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
Prediction of Hyperglycemia in Diabetic Patients Using Data Mining Techniques
Diabetes mellitus is a group of metabolic diseases in which a person hyperglycemia, either because the pancreas does not produce enough insulin, or because body's cell does not respond to the insulin that is produced. In diabetics patients the improper control of blood glucose level will lead to many complications. Prediction of hyperglycemia events is by Continuous Glucose monitoring. In this paper prediction of hyperglycemia uses ARIMA model and METABO system. The prediction of blood glucose is done every 10 or 15 minutes. The METABO system is which aims at monitoring of diabetics and recording, interpreting. The results are processed with proper system modeling.
Keywords
Hyperglycemia, Data Mining, METABO System, ARIMA Model.
User
Font Size
Information
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 127
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 0