A Grammatical Evolution Approach for Estimating Blood Glucose Levels
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43961697" target="_blank" >RIV/49777513:23520/20:43961697 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11140/20:10425967 RIV/00669806:_____/20:10425967
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/9367402" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9367402</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2020.10.048" target="_blank" >10.1016/j.procs.2020.10.048</a>
Alternative languages
Result language
angličtina
Original language name
A Grammatical Evolution Approach for Estimating Blood Glucose Levels
Original language description
The management of diabetes is a very complex task, hence devising automatic procedures able to predict the glycemic level can represent a significant step towards the building of an artificial pancreas capable of providing the needed amounts of insulin boluses. This paper presents a Grammatical Evolution-based algorithm aiming at extrapolating a regression model able to estimate the blood glucose level in future instants of time through interstitial glucose measurements. The hypothesis is that the amounts of carbohydrates assumed, of basal insulin levels and of those administered with boluses are known. Experiments, performed on a real-world database made up of five patients suffering from Type 1 diabetes, are shown in terms of Clark Error Grid analysis. To evaluate the effectiveness of the predictions derived from the proposed approach, the results obtained are compared against those obtained by other state–of–the–art evolutionary–based methods very recently proposed.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 IEEE Globecom
ISBN
978-1-72817-307-8
ISSN
2166-0069
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE Xplore Conference Publishing
Place of publication
USA
Event location
Taipei, Taiwan, virtuálně
Event date
Dec 7, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000662202100012