De–randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956220" target="_blank" >RIV/49777513:23520/19:43956220 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11140/19:10402654
Result on the web
<a href="http://dx.doi.org/10.1109/CBMS.2019.00064" target="_blank" >http://dx.doi.org/10.1109/CBMS.2019.00064</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CBMS.2019.00064" target="_blank" >10.1109/CBMS.2019.00064</a>
Alternative languages
Result language
angličtina
Original language name
De–randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels
Original language description
A physiological model improves delivered healthcare, when constructing a medical device. Such a model comprises a number of parameters. While an analytical method determines model parameters, an evolutionary algorithm can improve them further. As evolutionary algorithms were designed on top of random-number generators, their results are not deterministic. This raises a concern about their applicability to medical devices. Medical-device algorithm must produce an output with a minimum guaranteed accuracy. Therefore, we applied de-randomized sequences to Meta-Differential Evolution instead of using a random-number generator. Eventually, we designed an optimization method based on zooming with derandomized sequences as an alternative to the Meta-Differential Evolution. As the experimental setup, we predicted glucose-level signal to cover a blind window of glucose-monitoring signal that results from a physiological lag in glucose transportation. Completely de-randomized differential evolution exhibited the same accuracy and precision as completely non-deterministic differential evolution. They produced 93% of glucose levels with relative error less than or equal to 15%.
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)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems
ISBN
978-1-72812-286-1
ISSN
2372-9198
e-ISSN
—
Number of pages
6
Pages from-to
269-274
Publisher name
IEEE Computer Society Conference Publishing Services (CPS)
Place of publication
Los Alamitos
Event location
Cordóba
Event date
Jun 5, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000502356600055