A predictive model of subcutaneous glucose concentration in type 1 diabetes based on Random Forests

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 2889-2892

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

^a UNIVERSITY OF IOANNINA   (Greece)

^b UNIVERSITY OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS VALIDATION; DAILY RHYTHM; DATA SETS; ENERGY EXPENDITURE; GLUCOSE CONCENTRATION; GLUCOSE METABOLISM; INTESTINAL ABSORPTION; PLASMA INSULIN CONCENTRATION; PREDICTION HORIZON; PREDICTIVE ANALYSIS; PREDICTIVE MODELS; RANDOM FORESTS; REGRESSION TECHNIQUES; TIME FEATURES; TYPE 1 DIABETES;

DECISION TREES;

GLUCOSE;

GLUCOSE;

ADULT; AGED; ARTICLE; FEMALE; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MALE; METABOLISM; MIDDLE AGED; THEORETICAL MODEL;

ADULT; AGED; DIABETES MELLITUS, TYPE 1; FEMALE; GLUCOSE; HUMANS; MALE; MIDDLE AGED; MODELS, THEORETICAL;

EID: 84882987388     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346567     Document Type: Conference Paper

References (15)

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.
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. Inf. Technol. Biomed., vol. 14, no. 1, pp. 157-165, Jan. 2010.
3. B. P. Kovatchev and W. L. Clarke, "Peculiarities of the continuous glucose monitoring data stream and their impact on developing closed-loop control technology", J. Diabetes. Sci. Technol., vol. 2, no. 1, pp. 158-163, Jan. 2008.
4. C. Perez-Gandia, A. Facchinetti, G. Sparacino, C. Cobelli, E. J. Gomez, M. Rigla, A. de Leiva, and M. E. Hernando, "Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring", Diabetes Technol. Ther., vol. 12, no. 1, pp. 81-88, Jan. 2010.
5. J. J. Valletta, A. J. Chipperfield, and C. D. Byrne, "Gaussian process modelling of blood glucose response to free-living physical activity data in people with type 1 diabetes" in Proc. 31st Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., Minneapolis, 2009, pp. 4913-4916.
6. E. I. Georga, V. C. Protopappas, and D. Polyzos, "Prediction of glucose concentration in type 1 diabetic patients using support vector regression" in Proc. 10th Int. Conf. Inf. Technol. Appl. Biomed., Corfu, 2010.
7. S. M. Pappada, B. D. Cameron, P. M. Rosman, A. E. Bourey, and T. J. Papadimos, "Neural network-based real-time prediction of glucose in patients with insulin-dependent diabetes", Diabetes Technol. Ther., vol. 13, no. 2, pp. 135-141, Feb. 2011.
8. L. Breiman, "Random forests", Machine Learning, vol. 45, no. 1, pp. 5-32, Oct. 2001.
9. E. I. Georga, V. C. Protopappas, A. Guillen, G. Fico, D. Ardigo, M. T. Arredondo, T. P. Exarchos, D. Polyzos, and D. I. Fotiadis, "Data mining for blood glucose prediction and knowledge discovery in diabetic patients: the METABO diabetes modeling and management system." in Proc. 31st Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., Minneapolis, 2009.
10. C. Tarin, E. Teufel, J. Pico, and J. Bondia, and H. J. Pfleiderer, "A comprehensive pharmacokinetic model of insulin glargine and other insulin formulations", IEEE Trans. Biomed. Eng., vol. 52, no. 12, pp. 1994-2005, Dec. 2005.
11. E. D. Lehmann and T. Deutsch, "A physiological model of glucose-insulin interaction in type 1 diabetes mellitus", J. Biomed Eng., vol. 14, no. 3, pp. 235-242, May 1992.
12. M. E. Pennant, L. C. Bluck, M. L. Marcovecchio, B. Salgin, R. Hovorka, and D. B. Dunger, "Insulin administration and rate of glucose appearance in people with type 1 diabetes", Diabetes Care, vol. 31, no. 11, pp. 2183-2187, Nov. 2008.
13. American Diabetes Association, "Physical activity / exercise and diabetes", Diabetes Care, vol. 27, no. 1, pp. 58-62, Jan. 2004.
14. W. Huang, K. M. Ramsey, B. Marcheva, and J. Bass, "Circadian rhythms, sleep and metabolism", J. Clin. Invest., vol. 121, no. 6, pp. 2133-2141, June 2011.
15. B. P. Kovatchev, L. A. Gonder-Frederick, D. J. Cox, and 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.