Prediction of glucose level based on time series analysis for both type1 and type2 diabetes
- Title
- Prediction of glucose level based on time series analysis for both type1 and type2 diabetes
- Authors
- 서원주; 이승현; 강원옥; 박성민
- Date Issued
- 2017-07-14
- Publisher
- IEEE Engineering in Medicine and Biology Society
- Abstract
- Diabetes patients must manage their glucose level, so they should measure it. We proposed prediction algorithms to use time-series models to interpret continuous glucose monitoring data. The best model achieved sensitivity = 67.0%, specificity = 96.4% and accuracy = 94.3%.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/45794
- Article Type
- Conference
- Citation
- 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017-07-14
- Files in This Item:
- There are no files associated with this item.
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