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An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43953576" target="_blank" >RIV/49777513:23520/18:43953576 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11140/18:10384946 RIV/00669806:_____/18:10384946

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ISCC.2018.8538682" target="_blank" >http://dx.doi.org/10.1109/ISCC.2018.8538682</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ISCC.2018.8538682" target="_blank" >10.1109/ISCC.2018.8538682</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives

  • Original language description

    The patients suffering from diabetes are subjected to several serious medical risks that can lead also to fatal consequences. To enhance the quality of life of these patients there is the necessity to devise an artificial pancreas able to inject an insulin bolus when needed. This paper presents a genetic-programming based algorithm to extrapolate a regression model able to estimate the blood glucose (BG) level through interstitial glucose (IG) measurements and their derivatives. This algorithm represents a possible step in building the fundamental element of such an artificial pancreas, namely a new evolutionary computation-based metodology to derive a mathematical relationship between BG and IG. The proposed evolutionary automatic procedure is evaluated on a real-world database made up of both BG and IG measurements of people suffering from Type 1 diabetes. The discovered model is validated through a comparison with other techniques during the experimental phase

  • 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

    <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

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 IEEE Symposium on Computers and Communications, ISCC2018

  • ISBN

    978-1-5386-6950-1

  • ISSN

    1530-1346

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1158-1163

  • Publisher name

    2018 IEEE Symposium on Computers and Communications, ISCC2018

  • Place of publication

    Natal

  • Event location

    Natal Brazílie

  • Event date

    Jun 25, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article