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...

Mô tả đầy đủ

Chi tiết về thư mục

Xuất bản năm:	IEEE Transactions on information technology in biomedicine 9, 2 (2005).
Tác giả chính:	Ajemba, P.O
Định dạng:	Bài viết
Ngôn ngữ:	Tiếng Anh
Những chủ đề:	Lenke indicator. Adolescent idiopathic scoliosis. Aetiology. Brace-treated patient. Clinical indicator. Decision support system. Hypothesis. Logistic regression model. Machine learning. Radiographic indicator. Scoliosis progression risk. Stepwise linear regression model. Support vectors classifier. Visible trunk asymmetry.