@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},