Identification of Risk Factors for Scoliosis in Elementary School Children Using Machine Learning
نویسندگان
چکیده
Scoliosis is an abnormal curvature of the spine and often diagnosed in childhood or early adolescence. In this study, risk factors for scoliosis elementary school children investigate based on age, backpack weight gender. There are 260 participated study from aged 7 up to 12 years old. Scoliometer used measure angle trunk rotation (ATR) Adam Forward Bending Test. Statistical analysis variance (ANOVA) determine characteristic difference ATR readings scoliosis. Significant results with P-value less than 0.001 found among a linear combination age weight. Then, classified using Decision Tree K-Nearest Neighbor. The classification shown that both method produced highest percentage 98.08%. This finding indicates significant as
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ژورنال
عنوان ژورنال: International Journal of Integrated Engineering
سال: 2023
ISSN: ['2229-838X', '2600-7916']
DOI: https://doi.org/10.30880/ijie.2023.15.03.009