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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%2F00216208%3A11140%2F20%3A10425967" target="_blank" >RIV/00216208:11140/20:10425967 - isvavai.cz</a>

  • Alternative codes found

    RIV/00669806:_____/20:10425967 RIV/49777513:23520/20:43961697

  • Result on the web

    <a href="http://dx.doi.org/10.1109/GCWkshps50303.2020.9367402" target="_blank" >http://dx.doi.org/10.1109/GCWkshps50303.2020.9367402</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/GCWkshps50303.2020.9367402" target="_blank" >10.1109/GCWkshps50303.2020.9367402</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. (C) 2020 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    30202 - Endocrinology and metabolism (including diabetes, hormones)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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 Workshops, GC Wkshps 2020 - Proceedings

  • ISBN

    978-1-72817-307-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    New York

  • Event location

    Taipei, Taiwan

  • Event date

    Dec 7, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article