메뉴 건너뛰기




Volumn 29, Issue 2, 2005, Pages 227-232

Towards neural network model for insulin/glucose in diabetics-II

Author keywords

Diabetics; Insulin; Levenberg Marquardt Neural Network; Polynomial Networks

Indexed keywords

ALGORITHMS; BIOMEDICAL ENGINEERING; DISEASES; GLUCOSE; INSULIN; MATHEMATICAL MODELS; POLYNOMIALS; REGRESSION ANALYSIS;

EID: 24744470126     PISSN: 03505596     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (22)
  • 1
    • 0002391234 scopus 로고
    • A spectrum of approaches for controlling diabetes
    • E.Carson et al, 1992 "A Spectrum of Approaches for Controlling Diabetes", IEEE Transactions on Control Systems, No. 12.
    • (1992) IEEE Transactions on Control Systems , Issue.12
    • Carson, E.1
  • 2
    • 0032523525 scopus 로고    scopus 로고
    • Predictive neural networks for learning the time course of blood glucose levels from the complex Interaction of counter regulatory hormones
    • Pank, Klaus;Jurgens, Clemens; et al; 1998 "Predictive neural networks for learning the time course of blood glucose levels from the complex Interaction of counter regulatory hormones" Neural Computation, Vol. 10 Issue 4.
    • (1998) Neural Computation , vol.10 , Issue.4
    • Pank, K.1    Jurgens, C.2
  • 4
    • 0028434161 scopus 로고
    • Retrospective validation of a physiological model of glucose-insulin interaction in type 1 diabetes mellitus
    • Lehmann ED, Hermanyi I, Deutsch T., 1994 Retrospective validation of a physiological model of glucose-insulin interaction in type 1 diabetes mellitus. Med Eng Phys16:193-202
    • (1994) Med Eng Phys , vol.16 , pp. 193-202
    • Lehmann, E.D.1    Hermanyi, I.2    Deutsch, T.3
  • 5
    • 0028332617 scopus 로고
    • 1994, Trans. Blamed Eng 41:116-124.
    • (1994) Trans. Blamed Eng , vol.41 , pp. 116-124
  • 7
    • 0033011704 scopus 로고    scopus 로고
    • Is blood glucose predictable from previous values?
    • Bremer, Troy; Gough, David A. ;1999 "Is blood glucose predictable from previous values? " Diabetes, Vol. 48 Issue 3.
    • (1999) Diabetes , vol.48 , Issue.3
    • Bremer, T.1    Gough, D.A.2
  • 9
    • 0025848683 scopus 로고
    • Computer model for mechanisms underlying ultra oscillations of insulin and glucose
    • Sturis J, Polonsky KS, Mosekilde E, Van Cauter E, 1991: Computer model for mechanisms underlying ultra oscillations of insulin and glucose. Am. J. Physiology 260:E801-E809.
    • (1991) Am. J. Physiology , vol.260
    • Sturis, J.1    Polonsky, K.S.2    Mosekilde, E.3    Van Cauter, E.4
  • 10
    • 0028224073 scopus 로고
    • A probabilistic approach to glucose prediction and insulin dose adjustment: Description of a metabolic model and pilot evaluation study
    • Andreassen S, Benn JJ, Hovorka R, Olesen KG, Carson ER, 1994: A probabilistic approach to glucose prediction and insulin dose adjustment: description of a metabolic model and pilot evaluation study. Computer Methods Programs Biomedical 41:153-163.
    • (1994) Computer Methods Programs Biomedical , vol.41 , pp. 153-163
    • Andreassen, S.1    Benn, J.J.2    Hovorka, R.3    Olesen, K.G.4    Carson, E.R.5
  • 12
    • 0345319712 scopus 로고    scopus 로고
    • A model of glucose kinetics and their control by insulin, compartmental and non compartmental approaches
    • Cobelli C, Toffolo G, Ferrannini E, 1996: A model of glucose kinetics and their control by insulin, compartmental and non compartmental approaches. Math Biosciences 71:291-316.
    • (1996) Math Biosciences , vol.71 , pp. 291-316
    • Cobelli, C.1    Toffolo, G.2    Ferrannini, E.3
  • 14
    • 0027189035 scopus 로고
    • Self-organizing maps: Optimization approaches
    • T. Kohonen, K.Makisara, O.Simula, and J.Kanga, eds., IEEE, New York
    • T. Kohonen, 1993, "Self-organizing maps: Optimization approaches, in Artificial Neural Networks", T. Kohonen, K.Makisara, O.Simula, and J.Kanga, eds., pp.1147-1156. IEEE, New York.
    • (1993) Artificial Neural Networks , pp. 1147-1156
    • Kohonen, T.1
  • 18
    • 0000621802 scopus 로고    scopus 로고
    • Multivariate function interpolation and adaptive networks
    • Broomhead, D.S., and Lowe, D. Multivariate Function Interpolation and Adaptive Networks, Complex Systems, 2, 321-355.
    • Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 20
    • 0000139964 scopus 로고
    • Handwritten digit recognition using k- Nearest neighbor, radial-basis functions, and back-propagation neural networks
    • Lee, Y., 1991 "Handwritten Digit recognition Using k- nearest Neighbor, Radial-basis Functions, and Back-propagation Neural Networks, Neural Computation, 3(3), 440-449.
    • (1991) Neural Computation , vol.3 , Issue.3 , pp. 440-449
    • Lee, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.