Выходит 12 номеров в год
ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337
Indexed in
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
Краткое описание
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.
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Savchenko E., The Technology for Solving the Problem of Modeling and Forecasting Based on Inductive Approach, Kibernetika i vyčislitelʹnaâ tehnika, 2015, 180, 2015. Crossref
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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