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

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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Bibliografiska uppgifter
I publikationen:IEEE Transactions on information technology in biomedicine 9, 2 (2005).
Huvudupphovsman: Ajemba, P.O
Materialtyp: Artikel
Språk:English
Ämnen:
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.