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Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes

✍ Scribed by Wei Yu; Tiebin Liu; Rodolfo Valdez; Marta Gwinn; Muin J Khoury


Book ID
115018328
Publisher
BioMed Central
Year
2010
Tongue
English
Weight
334 KB
Volume
10
Category
Article
ISSN
1472-6947

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## Abstract The support vector machines (SVMs) method is proposed because it can reflect the sequence‐coupling effect for a tetrapeptide in not only a β‐turn or non‐β‐turn, but also in different types of β‐turn. The results of the model for 6022 tetrapeptides indicate that the rates of self‐consist