@inproceedings{5d0985787e1546e1a2b0a83b00a9e615,
title = "Electronic disease surveillance for sensitive population groups - The diabetics case study",
abstract = "Diabetics are quite susceptible to infectious diseases and can easily spread them under certain circumstances. Their blood glucose levels are increased after infection and this can cause a hyperglycemic crisis. Our study indicates that this increase results in glucosylated hemoglobin elevation, even when a diabetic is monitored closely and his/her blood glucose is under tight control. Thus, it is important to detect infections at the very early stages of disease progression in order to aid the patient. For this purpose, an electronic Disease Surveillance System could be developed to collect and analyze blood glucose data. Generally, we could extend the use of blood glucose data to the implementation of disease surveillance systems for the general population.",
keywords = "Blood glucose, Diabetics, Disease surveillance, Early detection",
author = "Taxiarchis Botsis and Ole Hejlesen and Bellika, {Johan Gustav} and Gunnar Hartvigsen",
note = "Funding Information: 1 Corresponding author: Taxiarchis Botsis, Department of Computer Science, University of Troms{\o}, 9037 Troms{\o}, Norway. E-mail address: tbotsis@cs.uit.no 2 This work was carried out during the tenure of an ERCIM “Alain Bensoussan” Fellowship Programme. 3 This work was partly funded by the Research Council of Norway, Project No: 174934.",
year = "2008",
language = "English (US)",
isbn = "9781586038649",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "365--370",
booktitle = "Studies in Health Technology and Informatics",
}