A support vectors classifier approach to predicting the risk of progression of adolescent idiopathic scoliosis.

A support vector classifier (SVC) approach was employed in predicting the risk of progression of adolescent idiopathic scoliosis (AIS), a condition that causes visible trunk asymmetries. As the aetiology of AIS is unknown, its risk of progression can only be predicted from measured indicators. Previ...

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发表在:IEEE Transactions on information technology in biomedicine 9, 2 (2005).
主要作者: Ajemba, P.O
格式: 文件
语言:English
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