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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
서원주이승현강원옥박성민
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
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