%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