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Items: 1 to 20 of 80

1.

Predicting subcutaneous glucose concentration in humans: data-driven glucose modeling.

Gani A, Gribok AV, Rajaraman S, Ward WK, Reifman J.

IEEE Trans Biomed Eng. 2009 Feb;56(2):246-54. doi: 10.1109/TBME.2008.2005937. Epub 2008 Sep 16.

PMID:
19272928
2.

Universal glucose models for predicting subcutaneous glucose concentration in humans.

Gani A, Gribok AV, Lu Y, Ward WK, Vigersky RA, Reifman J.

IEEE Trans Inf Technol Biomed. 2010 Jan;14(1):157-65. doi: 10.1109/TITB.2009.2034141. Epub 2009 Oct 23.

PMID:
19858035
3.

The importance of different frequency bands in predicting subcutaneous glucose concentration in type 1 diabetic patients.

Lu Y, Gribok AV, Ward WK, Reifman J.

IEEE Trans Biomed Eng. 2010 Aug;57(8):1839-46. doi: 10.1109/TBME.2010.2047504. Epub 2010 Apr 15.

PMID:
20403780
4.

Experimental evaluation of a recursive model identification technique for type 1 diabetes.

Finan DA, Doyle FJ 3rd, Palerm CC, Bevier WC, Zisser HC, Jovanovic L, Seborg DE.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1192-202.

5.

Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring.

Pérez-Gandía C, Facchinetti A, Sparacino G, Cobelli C, Gómez EJ, Rigla M, de Leiva A, Hernando ME.

Diabetes Technol Ther. 2010 Jan;12(1):81-8. doi: 10.1089/dia.2009.0076.

PMID:
20082589
6.

Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus.

Zhao C, Dassau E, Jovanovič L, Zisser HC, Doyle FJ 3rd, Seborg DE.

J Diabetes Sci Technol. 2012 May 1;6(3):617-33.

7.

Predictive monitoring for improved management of glucose levels.

Reifman J, Rajaraman S, Gribok A, Ward WK.

J Diabetes Sci Technol. 2007 Jul;1(4):478-86.

8.

Prediction of blood glucose levels in diabetic patients using a hybrid AI technique.

Liszka-Hackzell JJ.

Comput Biomed Res. 1999 Apr;32(2):132-44.

PMID:
10337495
9.

Predicting human subcutaneous glucose concentration in real time: a universal data-driven approach.

Lu Y, Rajaraman S, Ward WK, Vigersky RA, Reifman J.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:7945-8. doi: 10.1109/IEMBS.2011.6091959.

PMID:
22256183
10.

Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series.

Sparacino G, Zanderigo F, Corazza S, Maran A, Facchinetti A, Cobelli C.

IEEE Trans Biomed Eng. 2007 May;54(5):931-7.

PMID:
17518291
11.

Real-time continuous glucose monitoring.

Buckingham B, Caswell K, Wilson DM.

Curr Opin Endocrinol Diabetes Obes. 2007 Aug;14(4):288-95. Review.

PMID:
17940454
12.

Individualized short-term core temperature prediction in humans using biomathematical models.

Gribok AV, Buller MJ, Reifman J.

IEEE Trans Biomed Eng. 2008 May;55(5):1477-87. doi: 10.1109/TBME.2007.913990.

PMID:
18440893
13.

A study of trained clinicians' blood glucose predictions based on diaries of people with type 1 diabetes.

Kildegaard J, Randløv J, Poulsen JU, Hejlesen O.

Methods Inf Med. 2007;46(5):553-7.

PMID:
17938778
14.

Glucose-monitoring with continuous subcutaneous microdialysis in neonatal diabetes mellitus.

Baumeister FA, Hack A, Busch R.

Klin Padiatr. 2006 Jul-Aug;218(4):230-2.

PMID:
16819705
15.

Blood glucose prediction using stochastic modeling in neonatal intensive care.

Le Compte AJ, Lee DS, Chase JG, Lin J, Lynn A, Shaw GM.

IEEE Trans Biomed Eng. 2010 Mar;57(3):509-18. doi: 10.1109/TBME.2009.2035517. Epub 2009 Oct 30.

PMID:
19884072
16.

Simulation studies on neural predictive control of glucose using the subcutaneous route.

Trajanoski Z, Regittnig W, Wach P.

Comput Methods Programs Biomed. 1998 May;56(2):133-9.

PMID:
9700428
17.

Diabetes mellitus modeling and short-term prediction based on blood glucose measurements.

Ståhl F, Johansson R.

Math Biosci. 2009 Feb;217(2):101-17. doi: 10.1016/j.mbs.2008.10.008. Epub 2008 Oct 30.

PMID:
19022264
18.

Recurrent neural network modeling of nearshore sandbar behavior.

Pape L, Ruessink BG, Wiering MA, Turner IL.

Neural Netw. 2007 May;20(4):509-18. Epub 2007 Apr 29.

PMID:
17532608
19.

Continuous glucose monitoring: a review of biochemical perspectives and clinical use in type 1 diabetes.

Girardin CM, Huot C, Gonthier M, Delvin E.

Clin Biochem. 2009 Feb;42(3):136-42. doi: 10.1016/j.clinbiochem.2008.09.112. Epub 2008 Oct 11. Review.

PMID:
18951887
20.

Clinical use of real-time continuous glucose monitoring.

Battelino T, Bolinder J.

Curr Diabetes Rev. 2008 Aug;4(3):218-22. Review.

PMID:
18690903
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