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Support Vector Regression-based Model to Analyze Prognosis of Infants with Congenital Muscular Torticollis

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Author(s)
Suk-Tae SeoIn-Hee LeeChang-Sik SonHee-Joon ParkHyoung-Seob ParkHyuck-Jun YoonYoon-Nyun Kim
Keimyung Author(s)
Park, Hee JunPark, Hyoung SeobYoon, Hyuck JunKim, Yoon Nyun
Department
Dept. of Biomedical Engineering (의용공학과)
Dept. of Internal Medicine (내과학)
Journal Title
Healthcare Informatics Research
Issued Date
2010
Volume
16
Issue
4
Abstract
Objectives: Congenital muscular torticollis, a common disorder that refers to the shortening of the sternocleidomastoid in
infants, is sensitive to correction through physical therapy when treated early. If physical therapy is unsuccessful, surgery is
required. In this study, we developed a support vector regression model for congenital muscular torticollis to investigate the
prognosis of the physical therapy treatent in infants. Methods: Fifty-nine infants with congenital muscular torticollis received
physical therapy until the degree of neck tilt was less than 5o. After treatment, the mass diameter was reevaluated. Based on
the data, a support vector regression model was applied to predict the prognoses. Results: 10-, 20-, and 50-fold cross-tabulation
analyses for the proposed model were conducted based on support vector regression and conventional multi-regression
method based on least squares. The proposed methodbased on support vector regression was robust and enabled the effective
analysis of even a small amount of data containing outliers. Conclusions: The developed support vector regression model is
an effective prognostic tool for infants with congenital muscular torticollis who receive physical therapy.
Keywords: Support Vector Regression, Mass Diameter, Prediction Model, Torticollis
Keimyung Author(s)(Kor)
박희준
박형섭
윤혁준
김윤년
Publisher
School of Medicine
Citation
Suk-Tae Seo et al. (2010). Support Vector Regression-based Model to Analyze
Prognosis of Infants with Congenital Muscular Torticollis. Healthcare Informatics Research, 16(4), 224–230. doi: 10.4258/hir.2010.16.4.224
Type
Article
ISSN
2093-3681
DOI
10.4258/hir.2010.16.4.224
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/35807
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
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