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Journal of Automation and Information Sciences

Publication de 12  numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Application of Algorithms of the Method of Batch Assessment of Arguments for Recovering Missed Data and Prediction of the Glucose Level in Blood on at Home Diabetes Monitoring

Volume 34, Numéro 6, 2002, 8 pages
DOI: 10.1615/JAutomatInfScien.v34.i6.60
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RÉSUMÉ

On at home monitoring of diabetes certain data about level of glucose in blood of a patient, rate of change of this level and some actual factors can be missed. For their recovering we propose specific interpolation models of the method of batch assessment of arguments, which are distinct by application of not only preceding but also further values of variables. We compare two methods, i.e., the first one uses interpolation models and the second one uses elimination of rows and columns with omissions from a sampling after transforming it to a conditional or simultaneous form.

CITÉ PAR
  1. Savchenko E., The Technology for Solving the Problem of Modeling and Forecasting Based on Inductive Approach, Kibernetika i vyčislitelʹnaâ tehnika, 2015, 180, 2015. Crossref

  2. Tutova Olena, Savchenko-Synyakova Yevgeniya, Pidnebesna Halyna, Modelling of the Impact of Socio-Demographic Indicators on the Gross National Income by CORAL GMDH, 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT), 2021. Crossref

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