%0 Journal Article
	%A Jianyin Lu and  Masayoshi Seike and  Wei Liu and  Peihong Wu and  Lihua Wang and  Yihua Wu and 
Yasuhiro Naito and  Hiromu Nakajima and  Yasuhiro Kouchi
	%D 2009
	%J International Journal of Biomedical and Biological Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 29, 2009
	%T Extrapolation of Clinical Data from an Oral Glucose Tolerance Test Using a Support Vector Machine
	%U https://publications.waset.org/pdf/2370
	%V 29
	%X 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.
	%P 48 - 51