Abstract
In the vast majority of existing methods of obtaining parametric biomedical information, it is represented by a finite set of informative parameters (features). Their informational significance is always different and practically not evaluated for the tasks of parametric identification and diagnosis of diabetes mellitus. In this paper, it is proposed to evaluate the informational significance of parameters (features) based on dispersion analysis of changes in their mathematical expectation with respect to residual noise. Fisher’s F-statistics were used as a quantitative measure of the changes, with the subsequent conversion of the obtained data into the amount of information expected based on the equations of the information measurement theory.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Toffolo, G., Bergman, R.N., Finegood, D.T., Bowden, C.R., Cobelli, C. Quantitative estimation of beta cells sensitivity to glucose in the intact organism: a minimal model of insulin kinetics in dog. Diabetes 29, 979–986 (1980)
Palumbo, P., Ditlevsen, S., Bertuzzi, A., Andrea De Gaetano, A.: Mathematical modeling of the glucose-insulin system: a review. Math. Biosci. 244, 69–81 (2013)
Cobelli, C., Dalla, Man C., Sparacino, G., Magni, L., De Nicolao, G., Kovatchev, B.: Diabetes: models, signals and control. IEEE Rev. Biomed. Eng. 2, 54–96 (2009)
De Gaetano, A., Arino, O.: Mathematical modelling of the intravenous glucose tolerance test. J. Math. Biol. 40, 136–168 (2000)
Makroglou, A., Li, J., Kuang, Y.: Mathematical models and software tools for the glucose-insulin regulatory system and diabetes: an overview. Appl. Numer. Math. 56, 559–573 (2006)
Sokol, Y., Lapta, S., Chmykhova, O., Solovyova, O., Goncharova, O.: Diagnostic biotechnical system of the quantitative diagnostics of malabsorption. ELNANO, 255–258 (2017)
Globalnyiy doklad po diabetu [Global report on diabetes]. Zheneva: Vsemirnaya organizatsiya zdravoohraneniya. License: CC BY-NC-SA 3.0 IGO (2018)
Pollard, J.H.: A Handbook of Numerical and Statistical Techniques, p. 344. Cambridge University Press, New York
Dzhonson N.: Statistika i planirovanie eksperimenta v tehnike i nauke: Metodyi planirovaniya eksperimenta. M.: Mir: 520 (1981)
Lapta S.S. Metodyi povyisheniya diagnosticheskoy effektivnosti glyukozotolerantnyih testov (na osnove matematicheskogo modelirovaniya dinamiki glikemii): Dis. kand. tehn. nauk: 05.11.17 / Harkovskiy natsionalnyiy un-t radioelektroniki. – H., 2004. – 220 s
Saharnyiy diabet: doklad Issledovatelskoy gruppyi VOZ (1985). Zheneva: 126
Ornatskiy, P.P.: Teoreticheskie osnovyi informatsionno-izmeritelnoy tehniki. – K.: Vischa shkola: 455 (1983)
Novoselov, O.N.: Identifikatsiya sostoyaniya dinamicheskih ob’ektov po izmeryaemyim parametram: ot teorii k praktike. Izmeritelnaya tehnika. № 2: 20–24 (2010)
Conflict of Interest
The authors hereby declare that they have no conflict of interest.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Sokol, Y.I., Chmykhova, O.V., Boyko, V.V., Zamyatin, P.N., Zamiatin, D.P. (2020). Information Analysis of Biochemical Parameters for Glucose Tolerance Tests. In: Tiginyanu, I., Sontea, V., Railean, S. (eds) 4th International Conference on Nanotechnologies and Biomedical Engineering. ICNBME 2019. IFMBE Proceedings, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-31866-6_99
Download citation
DOI: https://doi.org/10.1007/978-3-030-31866-6_99
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-31865-9
Online ISBN: 978-3-030-31866-6
eBook Packages: EngineeringEngineering (R0)