Predicting blood glucose levels for a type I diabetes patient by combination of autoregressive with one compartment open model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F17%3A10373946" target="_blank" >RIV/00216208:11130/17:10373946 - isvavai.cz</a>
Alternative codes found
RIV/00064203:_____/17:10373946
Result on the web
<a href="https://doi.org/10.1007/978-981-10-5122-7_193" target="_blank" >https://doi.org/10.1007/978-981-10-5122-7_193</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-10-5122-7_193" target="_blank" >10.1007/978-981-10-5122-7_193</a>
Alternative languages
Result language
angličtina
Original language name
Predicting blood glucose levels for a type I diabetes patient by combination of autoregressive with one compartment open model
Original language description
Preventing complications in diabetes as well as support physicians and patients to treat the disease optimally, prediction of blood glucose levels is essential. In the most common treatment of type I diabetes, the diabetic measures the blood glucose level daily, based on which a proper dosage can be determined. Additionally, there are several other factors that affect the blood glucose concentration, such as carbohydrate intake and level of exercise. One of the main challenges is to make accurate long term predictions. Autoregressive models in combination with compartment models for estimating the insulin concentration can be determined as the first approach to this purpose. This paper provides a snapshot of the state-of-the-art for the model predictor, testing the results and comparing them with results from short-term prediction. (C) Springer Nature Singapore Pte Ltd. 2018.
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
30202 - Endocrinology and metabolism (including diabetes, hormones)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
IFMBE Proceedings
ISBN
978-981-10-5122-7
ISSN
1433-9277
e-ISSN
neuvedeno
Number of pages
4
Pages from-to
771-774
Publisher name
Springer Verlag
Place of publication
Singapore
Event location
Tampere
Event date
Jun 11, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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