These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 9700429)

  • 21. Fuzzy filter for state estimation of a glucoregulatory system.
    Trajanoski Z; Wach P
    Comput Methods Programs Biomed; 1996 Aug; 50(3):265-73. PubMed ID: 8894386
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Mixed Bayesian networks: a mixture of Gaussian distributions.
    Chevrolat JP; Rutigliano F; Golmard JL
    Methods Inf Med; 1994 Dec; 33(5):535-42. PubMed ID: 7869953
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Estimation of individually adapted control parameters for an artificial beta cell.
    Salzsieder E; Albrecht G; Jutzi E; Fischer U
    Biomed Biochim Acta; 1984; 43(5):585-96. PubMed ID: 6383363
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Model identification using stochastic differential equation grey-box models in diabetes.
    Duun-Henriksen AK; Schmidt S; Røge RM; Møller JB; Nørgaard K; Jørgensen JB; Madsen H
    J Diabetes Sci Technol; 2013 Mar; 7(2):431-40. PubMed ID: 23567002
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery.
    Ruan Y; Thabit H; Wilinska ME; Hovorka R
    Biomed Eng Online; 2015 Mar; 14():19. PubMed ID: 25889091
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A perturbation-based estimate algorithm for parameters of coupled ordinary differential equations, applications from chemical reactions to metabolic dynamics.
    Shiang KD
    Comput Methods Programs Biomed; 2009 May; 94(2):118-42. PubMed ID: 19157629
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Maximum-likelihood versus maximum a posteriori parameter estimation of physiological system models: the C-peptide impulse response case study.
    Sparacino G; Tombolato C; Cobelli C
    IEEE Trans Biomed Eng; 2000 Jun; 47(6):801-11. PubMed ID: 10833855
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Automated parameter estimation for biological models using Bayesian statistical model checking.
    Hussain F; Langmead CJ; Mi Q; Dutta-Moscato J; Vodovotz Y; Jha SK
    BMC Bioinformatics; 2015; 16 Suppl 17(Suppl 17):S8. PubMed ID: 26679759
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Population stochastic modelling (PSM)--an R package for mixed-effects models based on stochastic differential equations.
    Klim S; Mortensen SB; Kristensen NR; Overgaard RV; Madsen H
    Comput Methods Programs Biomed; 2009 Jun; 94(3):279-89. PubMed ID: 19268387
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Bayesian parameter estimation in the oral minimal model of glucose dynamics from non-fasting conditions using a new function of glucose appearance.
    Eichenlaub MM; Hattersley JG; Gannon MC; Nuttall FQ; Khovanova NA
    Comput Methods Programs Biomed; 2021 Mar; 200():105911. PubMed ID: 33485076
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Computer-aided systems in the management of type I diabetes: the application of a model-based strategy.
    Salzsieder E; Albrecht G; Fischer U; Rutscher A; Thierbach U
    Comput Methods Programs Biomed; 1990; 32(3-4):215-24. PubMed ID: 2249420
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Modelling the effect of insulin on the disposal of meal-attributable glucose in type 1 diabetes.
    García-García F; Hovorka R; Wilinska ME; Elleri D; Hernando ME
    Med Biol Eng Comput; 2017 Feb; 55(2):271-282. PubMed ID: 27155940
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Enhancing glucose sensor models: modeling the drop-outs.
    Emami A; Rabasa-Lhoret R; Haidar A
    Diabetes Technol Ther; 2015 Jun; 17(6):420-6. PubMed ID: 25751260
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A new insulin-glucose metabolic model of type 1 diabetes mellitus: An in silico study.
    Fang Q; Yu L; Li P
    Comput Methods Programs Biomed; 2015 Jun; 120(1):16-26. PubMed ID: 25896293
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A Novel Three-Compartmental Model for Artificial Pancreas: Development and Validation.
    Piemonte V; Capocelli M; De Santis L; Maurizi AR; Pozzilli P
    Artif Organs; 2017 Dec; 41(12):E326-E336. PubMed ID: 28853168
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals.
    Pillonetto G; Sparacino G; Magni P; Bellazzi R; Cobelli C
    Am J Physiol Endocrinol Metab; 2002 Mar; 282(3):E564-73. PubMed ID: 11832358
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Postprandial fuzzy adaptive strategy for a hybrid proportional derivative controller for the artificial pancreas.
    Beneyto A; Vehi J
    Med Biol Eng Comput; 2018 Nov; 56(11):1973-1986. PubMed ID: 29725915
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Bayesian analysis of mixtures applied to post-synaptic potential fluctuations.
    Turner DA; West M
    J Neurosci Methods; 1993 Apr; 47(1-2):1-21. PubMed ID: 8321009
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Mixed meal modeling and disturbance rejection in type I diabetic patients.
    Roy A; Parker RS
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():323-6. PubMed ID: 17946396
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prediction of a glucose appearance function from foods using deconvolution.
    Yates TL; Fletcher LR
    IMA J Math Appl Med Biol; 2000 Jun; 17(2):169-84. PubMed ID: 10994512
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.