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PUBMED FOR HANDHELDS

Journal Abstract Search


66 related items for PubMed ID: 24743081

  • 1. Combined model for diabetes lifestyle support.
    Gyuk P, Szabo I, Vassanyi I, Kosa I, Kovacs L.
    Stud Health Technol Inform; 2014; 197():77-81. PubMed ID: 24743081
    [Abstract] [Full Text] [Related]

  • 2. A case study of type 2 diabetes self-management.
    Wu HI.
    Biomed Eng Online; 2005 Jan 11; 4():4. PubMed ID: 15644138
    [Abstract] [Full Text] [Related]

  • 3. Calculation of the best basal-bolus combination for postprandial glucose control in insulin pump therapy.
    Revert A, Calm R, Vehi J, Bondia J.
    IEEE Trans Biomed Eng; 2011 Feb 11; 58(2):274-81. PubMed ID: 20639170
    [Abstract] [Full Text] [Related]

  • 4. A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients.
    Lin J, Razak NN, Pretty CG, Le Compte A, Docherty P, Parente JD, Shaw GM, Hann CE, Geoffrey Chase J.
    Comput Methods Programs Biomed; 2011 May 11; 102(2):192-205. PubMed ID: 21288592
    [Abstract] [Full Text] [Related]

  • 5. 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 May 11; 2010():589-92. PubMed ID: 21095890
    [Abstract] [Full Text] [Related]

  • 6. A semiclosed-loop algorithm for the control of blood glucose levels in diabetics.
    Fisher ME.
    IEEE Trans Biomed Eng; 1991 Jan 11; 38(1):57-61. PubMed ID: 2026432
    [Abstract] [Full Text] [Related]

  • 7. A whole-grain cereal-based diet lowers postprandial plasma insulin and triglyceride levels in individuals with metabolic syndrome.
    Giacco R, Costabile G, Della Pepa G, Anniballi G, Griffo E, Mangione A, Cipriano P, Viscovo D, Clemente G, Landberg R, Pacini G, Rivellese AA, Riccardi G.
    Nutr Metab Cardiovasc Dis; 2014 Aug 11; 24(8):837-44. PubMed ID: 24598599
    [Abstract] [Full Text] [Related]

  • 8. Run-to-run control of blood glucose concentrations for people with Type 1 diabetes mellitus.
    Owens C, Zisser H, Jovanovic L, Srinivasan B, Bonvin D, Doyle FJ.
    IEEE Trans Biomed Eng; 2006 Jun 11; 53(6):996-1005. PubMed ID: 16761826
    [Abstract] [Full Text] [Related]

  • 9. Improved glucose tolerance and insulin response in obese and diabetic patients on a fiber-enriched diet.
    Kanter Y, Eitan N, Brook G, Barzilai D.
    Isr J Med Sci; 1980 Jan 11; 16(1):1-6. PubMed ID: 6987195
    [Abstract] [Full Text] [Related]

  • 10. A new dynamic index of insulin sensitivity.
    Pillonetto G, Caumo A, Sparacino G, Cobelli C.
    IEEE Trans Biomed Eng; 2006 Mar 11; 53(3):369-79. PubMed ID: 16532763
    [Abstract] [Full Text] [Related]

  • 11. Effect of dietary protein on post-prandial glucose in patients with type 1 diabetes.
    Borie-Swinburne C, Sola-Gazagnes A, Gonfroy-Leymarie C, Boillot J, Boitard C, Larger E.
    J Hum Nutr Diet; 2013 Dec 11; 26(6):606-11. PubMed ID: 23521532
    [Abstract] [Full Text] [Related]

  • 12. Pramlintide reduces postprandial glucose excursions when added to insulin lispro in subjects with type 2 diabetes: a dose-timing study.
    Maggs DG, Fineman M, Kornstein J, Burrell T, Schwartz S, Wang Y, Ruggles JA, Kolterman OG, Weyer C.
    Diabetes Metab Res Rev; 2004 Dec 11; 20(1):55-60. PubMed ID: 14737746
    [Abstract] [Full Text] [Related]

  • 13. Neural network modeling and control of type 1 diabetes mellitus.
    El-Jabali AK.
    Bioprocess Biosyst Eng; 2005 Apr 11; 27(2):75-9. PubMed ID: 15578231
    [Abstract] [Full Text] [Related]

  • 14. Effects of breakfast meal composition on second meal metabolic responses in adults with Type 2 diabetes mellitus.
    Clark CA, Gardiner J, McBurney MI, Anderson S, Weatherspoon LJ, Henry DN, Hord NG.
    Eur J Clin Nutr; 2006 Sep 11; 60(9):1122-9. PubMed ID: 16670695
    [Abstract] [Full Text] [Related]

  • 15. Meal simulation model of the glucose-insulin system.
    Dalla Man C, Rizza RA, Cobelli C.
    IEEE Trans Biomed Eng; 2007 Oct 11; 54(10):1740-9. PubMed ID: 17926672
    [Abstract] [Full Text] [Related]

  • 16. Fuzzy-based controller for glucose regulation in type-1 diabetic patients by subcutaneous route.
    Campos-Delgado DU, Hernández-Ordoñez M, Femat R, Gordillo-Moscoso A.
    IEEE Trans Biomed Eng; 2006 Nov 11; 53(11):2201-10. PubMed ID: 17073325
    [Abstract] [Full Text] [Related]

  • 17. Sparse Reconstruction of Glucose Fluxes Using Continuous Glucose Monitors.
    Al-Matouq AA, Laleg-Kirati TM, Novara C, Rabbone I, Vincent T.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Nov 11; 17(5):1797-1809. PubMed ID: 30892232
    [Abstract] [Full Text] [Related]

  • 18. Insulin dosage optimization based on prediction of postprandial glucose excursions under uncertain parameters and food intake.
    García-Jaramillo M, Calm R, Bondia J, Tarín C, Vehí J.
    Comput Methods Programs Biomed; 2012 Jan 11; 105(1):61-9. PubMed ID: 20870309
    [Abstract] [Full Text] [Related]

  • 19. On a model of glucose absorption.
    Fernandez M, Villasana M.
    Med Eng Phys; 2008 May 11; 30(4):538-40. PubMed ID: 17573229
    [Abstract] [Full Text] [Related]

  • 20. A comparison of automatic algorithms for insulin adjustment via a computer model of diabetes mellitus.
    Newman WP.
    Biomed Sci Instrum; 1987 May 11; 23():125-7. PubMed ID: 3300796
    [No Abstract] [Full Text] [Related]


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