Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43964306" target="_blank" >RIV/49777513:23520/21:43964306 - isvavai.cz</a>

Result on the web

<a href="https://diabetes.zcu.cz" target="_blank" >https://diabetes.zcu.cz</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISCC53001.2021.9631483" target="_blank" >10.1109/ISCC53001.2021.9631483</a>

Result language

angličtina

Original language name

Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models

Original language description

The quality of life of diabetic patients can be enhanced by devising a personalized control algorithm, integrated within an artificial pancreas, capable of dosing the insulin. A key action in the building of this artificial device is to conceive an efficient algorithm for forecasting future glucose levels. Within this paper, an evolutionary-based strategy, i.e., a Grammatical Evolution algorithm, is devised to deduce a personalized forecasting model to evaluate blood glucose values in the future on the basis of the past glucose measurements, and the knowledge of the basal and infused insulin levels and of the food consumption. The aim is to discover models that are not only interpretable but also with low complexity to be used within a control algorithm that is the main element of the artificial pancreas. A real-world database composed by Type 1 diabetic patients has been employed to evaluate the proposed evolutionary automatic procedure.

Czech name

—

Czech description

—

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)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

IEEE ISCC 2021 Proceedings

ISBN

978-1-66542-744-9

ISSN

1530-1346

e-ISSN

—

Number of pages

6

Pages from-to

1-6

Publisher name

IEEE

Place of publication

Piscataway

Event location

Atény, Řecko &amp; virtuálně

Event date

Sep 5, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000936276000111