@article{(Open Science Index):https://publications.waset.org/pdf/2370, title = {Extrapolation of Clinical Data from an Oral Glucose Tolerance Test Using a Support Vector Machine}, author = {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}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Biomedical and Biological Engineering}, volume = {3}, number = {5}, year = {2009}, pages = {48 - 51}, ee = {https://publications.waset.org/pdf/2370}, url = {https://publications.waset.org/vol/29}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 29, 2009}, }