Modelling of glucose dynamics for diabetes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932568" target="_blank" >RIV/49777513:23520/17:43932568 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-56148-6_27" target="_blank" >http://dx.doi.org/10.1007/978-3-319-56148-6_27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-56148-6_27" target="_blank" >10.1007/978-3-319-56148-6_27</a>
Alternative languages
Result language
angličtina
Original language name
Modelling of glucose dynamics for diabetes
Original language description
Diabetes is a heterogeneous group of diseases associated with elevated blood glucose level. Elevated glucose level continuously damages multiple organs, eventually leading to death. Diabetes is one of top 10 leading causes of death. Diabetes does not hurt nor manifests outwardly, until it is too late and the disease has developed. For example, type-1 diabetic patient depends on insulin. The patient takes insulin based on self-monitoring of blood glucose level. Motivated patient takes approximately 3-4 blood samples a day. This cannot capture all im-portant events, e.g., nocturnal hypoglycemia with the risk of death. Therefore, the patient wears a system that continuously measures glucose level in the subcuta-neous tissue. Nevertheless, these two glucose levels are not linearly proportional. They can differ considerably. Therefore, a model of glucose dynamics is needed to describe the non-linearity between these two levels. The model is important to estimate blood glucose level from the subcutaneous tissue glucose level and for a development of artificial pancreas. Number of models were developed. In this paper, we present the background, selected models of glucose dynamics, lessons learned and propose what minimal data researchers should share to stimulate fur-ther research on this topic
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Bioinformatics and Biomedical Engineering
ISBN
978-3-319-56147-9
ISSN
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e-ISSN
neuvedeno
Number of pages
11
Pages from-to
314-324
Publisher name
Springer
Place of publication
Cham
Event location
Granada
Event date
Apr 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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