Extrapolation of Clinical Data from an Oral Glucose Tolerance Test Using a Support Vector Machine

To extract the important physiological factors related to diabetes from an oral glucose tolerance test (OGTT) by mathematical modeling, highly informative but convenient protocols are required. Current models require a large number of samples and extended period of testing, which is not practical for daily use. The purpose of this study is to make model assessments possible even from a reduced number of samples taken over a relatively short period. For this purpose, test values were extrapolated using a support vector machine. A good correlation was found between reference and extrapolated values in evaluated 741 OGTTs. This result indicates that a reduction in the number of clinical test is possible through a computational approach.

Authors:

• Jianyin Lu
• Masayoshi Seike
• Wei Liu
• Peihong Wu
• Lihua Wang
• Yihua Wu
• Yasuhiro Naito
• Hiromu Nakajima
• Yasuhiro Kouchi

Keywords:

• SVM regression
• OGTT
• diabetes
• mathematical model

References:

[1] Y. Naito, H. Ohno, A. Sano, H. Nakajima, and M. Tomita, "Construction
of a simulation model of diabetes for pathophysiological analysis using
E-Cell System," Genome Informatics, vol. 13, pp. 478-479, Dec. 2002.
[2] K .G. M. M. Alberti and P. Z. Zimmet, "Definition, diagnosis and
classification of diabetes mellitus and its complications. part. 1: diagnosis
and classification of diabetes mellitus. Provisional report of a WHO
Consultation," Diabet Med, vol. 15, no. 7, pp. 539-553, Jul. 1998.
[3] C. Dalla Man, M. Campioni, K. S. Polonsky, R. Basu, R. A. Rizza, G. Toffolo,
and C. Cobelli, "Two-hour seven-sample oral glucose tolerance test
and meal protocol: minimal model assessment of beta-cell responsivity
and insulin sensitivity in nondiabetic individuals," Diabetes, vol. 54, no.
11, pp. 3265-3273, Nov. 2005.
[4] C. Dalla Man, A. Caumo, and C. Cobelli, "The oral glucose minimal
model: estimation of insulin sensitivity from a meal test," IEEE Trans
Biomed Eng, vol. 49, no.5, pp. 419-429, May. 2002.
[5] G. Toffolo, E. Breda, M. K. Cavaghan, D. A. Ehrmann, K. S. Polonsky,
and C. Cobelli, "Quantitative indexes of beta-cell function during graded
up&down glucose infusion from C-peptide minimal models," Am J
Physiol Endocrinol Metab, vol. 280, no. 1, pp. E2-E10, Jan. 2001.
[6] V. Vapnik, S. Golowich, and A. J. Smola, "A support vector method
for function approximation, regression estimation, and signal processing,"
in Advances in Neural Information Processing Systems: Proceedings of
the 1996 conference on Neural Information Processing Systems, vol. 9,
M. C. Mozer, M. I. Jordan, and T. Petsche, Ed. Cambridge: MIT Press,
1997, pp. 281-287.
[7] ISO15197, "In vitro diagnostic test systems: Requirements for bloodglucose
monitoring systems for self-testing in managing diabetes mellitus,"
May. 2003.
[8] C. Dalla Man, M. Camilleri, and C. Cobelli, "A system model of oral
glucose absorption: validation on gold standard data," IEEE Trans Biomed
Eng, vol. 53, no. 12 Pt1, pp. 2472-2478, Dec. 2006.