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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

94 related items for PubMed ID: 21095890

  • 1. Predictive modeling of glucose metabolism using free-living data of type 1 diabetic patients.
    Georga EI, Protopappas VC, Polyzos D, Fotiadis DI.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():589-92. PubMed ID: 21095890
    [Abstract] [Full Text] [Related]

  • 2. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ, Årsand E, Walderhaug S, Albers D, Mamykina L, Botsis T, Hartvigsen G.
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. Short-term diabetes blood glucose prediction based on blood glucose measurements.
    Ståhl F, Johansson R.
    Annu Int Conf IEEE Eng Med Biol Soc; 2008 Jun; 2008():291-4. PubMed ID: 19162650
    [Abstract] [Full Text] [Related]

  • 5. 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
    [Abstract] [Full Text] [Related]

  • 6. Modeling Day-to-Day Variability of Glucose-Insulin Regulation Over 12-Week Home Use of Closed-Loop Insulin Delivery.
    Yue Ruan, Wilinska ME, Thabit H, Hovorka R.
    IEEE Trans Biomed Eng; 2017 Jun; 64(6):1412-1419. PubMed ID: 28113240
    [Abstract] [Full Text] [Related]

  • 7. A semiclosed-loop optimal control system for blood glucose level in diabetics.
    Ibbini MS, Masadeh MA, Amer MM.
    J Med Eng Technol; 2004 Jun; 28(5):189-96. PubMed ID: 15370997
    [Abstract] [Full Text] [Related]

  • 8. Modeling, identification and nonlinear model predictive control of type I diabetic patient.
    Schlotthauer G, Gamero LG, Torres ME, Nicolini GA.
    Med Eng Phys; 2006 Apr; 28(3):240-50. PubMed ID: 15964233
    [Abstract] [Full Text] [Related]

  • 9.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 10. Diabetes mellitus modeling and short-term prediction based on blood glucose measurements.
    Ståhl F, Johansson R.
    Math Biosci; 2009 Feb; 217(2):101-17. PubMed ID: 19022264
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12. Blood glucose level neural model for type 1 diabetes mellitus patients.
    Alanis AY, Leon BS, Sanchez EN, Ruiz-Velazquez E.
    Int J Neural Syst; 2011 Dec; 21(6):491-504. PubMed ID: 22131301
    [Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14. Application of physicians' predictions of meal and exercise effects on blood glucose control to a computer simulation.
    Hauser T, Campbell LV, Kraegen EW, Chisholm DJ.
    Diabet Med; 1993 Oct; 10(8):744-50. PubMed ID: 8261757
    [Abstract] [Full Text] [Related]

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. The role of physical exercise and training in the management of diabetes mellitus.
    Berger M, Berchtold P.
    Bibl Nutr Dieta; 1979 Oct; (27):41-54. PubMed ID: 371613
    [Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. A physiological model of glucose-insulin interaction in type 1 diabetes mellitus.
    Lehmann ED, Deutsch T.
    J Biomed Eng; 1992 May; 14(3):235-42. PubMed ID: 1588781
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 5.