Identifiablity analysis and improved parameter estimation of a human blood glucose control system model

Eszter Lakatos, Domokos Meszéna, G. Szederkényi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages248-249
Number of pages2
Volume8130 LNBI
Publication statusPublished - 2013
Event11th International Conference on Computational Methods in Systems Biology, CMSB 2013 - Klosterneuburg, Austria
Duration: Sep 22 2013Sep 24 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8130 LNBI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Computational Methods in Systems Biology, CMSB 2013
CountryAustria
CityKlosterneuburg
Period9/22/139/24/13

Fingerprint

Glucose
Parameter estimation
Blood
Parameter Estimation
Control System
Control systems
Model
Human

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Lakatos, E., Meszéna, D., & Szederkényi, G. (2013). Identifiablity analysis and improved parameter estimation of a human blood glucose control system model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8130 LNBI, pp. 248-249). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8130 LNBI).

Identifiablity analysis and improved parameter estimation of a human blood glucose control system model. / Lakatos, Eszter; Meszéna, Domokos; Szederkényi, G.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8130 LNBI 2013. p. 248-249 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8130 LNBI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lakatos, E, Meszéna, D & Szederkényi, G 2013, Identifiablity analysis and improved parameter estimation of a human blood glucose control system model. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8130 LNBI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8130 LNBI, pp. 248-249, 11th International Conference on Computational Methods in Systems Biology, CMSB 2013, Klosterneuburg, Austria, 9/22/13.
Lakatos E, Meszéna D, Szederkényi G. Identifiablity analysis and improved parameter estimation of a human blood glucose control system model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8130 LNBI. 2013. p. 248-249. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Lakatos, Eszter ; Meszéna, Domokos ; Szederkényi, G. / Identifiablity analysis and improved parameter estimation of a human blood glucose control system model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8130 LNBI 2013. pp. 248-249 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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