Prediction of glucose concentration in type 1 diabetic patients using Support Vector Regression

Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB

Volumn , Issue , 2010, Pages

  Georga, Eleni I ^a,b   Protopappas, Vasilios C ^b   Polyzos, Demosthenes ^b  

^a UNIVERSITY OF IOANNINA   (Greece)

^b UNIVERSITY OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD GLUCOSE; BLOOD GLUCOSE LEVEL; CLINICAL UTILITY; COMPARTMENTAL MODEL; DIABETIC PATIENT; ERROR GRID ANALYSIS; GLUCOSE CONCENTRATION; INSULIN DYNAMICS; MODELING METHODOLOGY; PHYSIOLOGICAL PROCESS; PREDICTION METHODS; PREDICTIVE CAPABILITIES; SUPPORT VECTOR REGRESSIONS;

ABSORPTION; BLOOD; FORECASTING; INFORMATION TECHNOLOGY; INSULIN; PHYSIOLOGICAL MODELS;

GLUCOSE;

EID: 79951642869     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2010.5687764     Document Type: Conference Paper

References (14)

1. G. Sparacino, F. Zanderigo, S. Corazza, A. Maran, A. Facchineti, and C. Cobelli, "Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series ", IEEE Trans. Biomed. Eng., vol. 54, no. 5, pp. 931-937, May 2007. (Pubitemid 46628560)
2. A. Gani, A. V. Gribok, Y. Lu, W. K. Ward, R. A. Vigersky, and J. Reifman, "Universal Glucose Models for Predicting Subcutaneous Glucose Concentration in Humans", IEEE Trans. Inform. Tech. Biomed., vol. 14, no. 1, pp. 157-165, Jan. 2010.
3. F. Stahl and R. Johansson, "Diabetes mellitus modeling and shortterm prediction based on blood glucose measurements", Mathematical Biosciences, vol. 217, no. 2009, pp. 101-117, Oct. 2008.
4. D. Rollins, N. Bhandari, J. Kleinedler, K. Kotz, A. Strohbehn, L. Boland, M. Murphy, D. Andre, N. Vyas, G. Welk, W. E. Franke, "Free-living inferential modeling of blood glucose level using only noninvasive inputs",J. Process Control, vol. 20, no. 1, pp. 95-107, Jan. 2010.
5. J. J. Valleta, A. J. Chipperfield and C. D. Byrne, "Gaussian process modeling of blood glucose response to free-living physical activity data in people with type I diabetes", in Proc. 31st Annu. Int. Conf IEEE EMBS, Minneapolis, MN, 2009, pp. 4913-4916.
6. E. I. Georga, V. Protopappas, A. Guillen, G. Fico, D. Ardigo, M. Arredondo, T. Exarchos, D. Polyzos,and D. I. Fotiadis, "Data Mining for Blood Glucose Prediction and Knowledge Discovery in Diabetic Patients: The MET ABO Diabetes Modeling and Management System", in Proc. 31st Annu. Int. Conf IEEE EMBS, Minneapolis, MN, 2009, pp. 5633-5636.
7. E. D. Lehmann and T. Deutsch, "A physiological model of glucoseinsulin interaction in Type I diabetes mellitus", J. Biomed. Eng., vol. 14, no. 3, pp. 235-242, May 1992.
8. C. Tarin, E. Teufel, J. Pico, J. Bondia, and H. J. Pfleiderer, "A Comprehensive Pharmacokinetic Model of Insulin G1argine and Other Insulin Formulations", IEEE Trans. Biomed. Eng., vol. 52, no. 12, pp. 1994-2005, Dec. 2005. (Pubitemid 41774878)
9. A. Roy and R. S. Parker, "Dynamic Modeling of Exercise Effects on Plasma Glucose and Insulin Levels", J. Diabetes Sci. Technol., vol. 1, no. 3, pp. 338-347, May 2007.
10. K. H. Wilmore and D. L. Costill, Physiology of Sport and Exercise, Champaign, IL: Human Kinetics, 2005.
11. A. J. Smola and B. Scholkopf, "A tutorial on support vector regression", Statistics and Computing, vol. 14, no. 3, pp. 199-222, 2004. (Pubitemid 39063488)
12. C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2007.
13. W. L. Clarke, "The original clarke error grid analysis (EGA)", Diabetes Technol. and Ther., vol. 7, no. 5, pp. 776-779, Oct. 2005. (Pubitemid 41572081)
14. B. P. Kovatchev, L. A. Gonder-Frederick, D. J. Cox, W. L. Clarke, "Evaluating the accuracy of continuous glucose monitoring sensors: Continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data", Diabetes Care, vol. 27, no.8, pp. 1922-1928, Aug. 2004. (Pubitemid 38989233)