Identification of Risk Factors for Scoliosis in Elementary School Children Using Machine Learning

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY

International Journal of Integrated Engineering Pub Date : 2023-07-31 DOI:10.30880/ijie.2023.15.03.009

Ahmad Aizat Che Rahmat, Siti Zura A. Jalil, Sharifah Alwiah Syed Abd Rahman, S. Usman, Mohammad Shabbir Alam

{"title":"Identification of Risk Factors for Scoliosis in Elementary School Children Using Machine Learning","authors":"Ahmad Aizat Che Rahmat, Siti Zura A. Jalil, Sharifah Alwiah Syed Abd Rahman, S. Usman, Mohammad Shabbir Alam","doi":"10.30880/ijie.2023.15.03.009","DOIUrl":null,"url":null,"abstract":"Scoliosis is an abnormal curvature of the spine and often diagnosed in childhood or early adolescence. In this study, the risk factors for scoliosis in elementary school children is investigate based on age, backpack weight and gender. There are 260 children participated in this study from aged 7 up to 12 years old. Scoliometer is used to measure the angle of trunk rotation (ATR) on Adam Forward Bending Test. Statistical analysis of analysis of variance (ANOVA) is used to determine the characteristic difference of ATR readings on the risk factors for scoliosis. Significant results with P-value less than 0.001 are found among ATR readings on a linear combination of risk factors for scoliosis of age and backpack weight. Then, the risk factors for scoliosis are classified among elementary school children using Decision Tree and K-Nearest Neighbor. The classification results shown that both Decision Tree method produced highest classification percentage up to 98.08%. This finding indicates that age and backpack weight are significant as the risk factors for scoliosis.","PeriodicalId":14189,"journal":{"name":"International Journal of Integrated Engineering","volume":" ","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Integrated Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30880/ijie.2023.15.03.009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Scoliosis is an abnormal curvature of the spine and often diagnosed in childhood or early adolescence. In this study, the risk factors for scoliosis in elementary school children is investigate based on age, backpack weight and gender. There are 260 children participated in this study from aged 7 up to 12 years old. Scoliometer is used to measure the angle of trunk rotation (ATR) on Adam Forward Bending Test. Statistical analysis of analysis of variance (ANOVA) is used to determine the characteristic difference of ATR readings on the risk factors for scoliosis. Significant results with P-value less than 0.001 are found among ATR readings on a linear combination of risk factors for scoliosis of age and backpack weight. Then, the risk factors for scoliosis are classified among elementary school children using Decision Tree and K-Nearest Neighbor. The classification results shown that both Decision Tree method produced highest classification percentage up to 98.08%. This finding indicates that age and backpack weight are significant as the risk factors for scoliosis.

查看原文本刊更多论文

使用机器学习识别小学生脊柱侧凸的危险因素

脊柱侧弯是一种脊柱异常弯曲，通常在儿童或青少年早期诊断。在本研究中，根据年龄、背包重量和性别对小学儿童脊柱侧弯的危险因素进行了调查。共有260名7岁至12岁的儿童参与了这项研究。Scolitometer用于测量Adam正向弯曲测试中的躯干旋转角度（ATR）。方差分析的统计分析（ANOVA）用于确定ATR读数对脊柱侧弯危险因素的特征差异。在年龄和背包重量的脊柱侧弯风险因素的线性组合的ATR读数中，发现P值小于0.001的显著结果。然后，使用决策树和K-近邻对小学儿童脊柱侧弯的危险因素进行分类。分类结果表明，两种决策树方法的分类率最高，达98.08%。这一发现表明年龄和背包重量是脊柱侧弯的重要危险因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Integrated Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： The International Journal of Integrated Engineering (IJIE) is a single blind peer reviewed journal which publishes 3 times a year since 2009. The journal is dedicated to various issues focusing on 3 different fields which are:- Civil and Environmental Engineering. Original contributions for civil and environmental engineering related practices will be publishing under this category and as the nucleus of the journal contents. The journal publishes a wide range of research and application papers which describe laboratory and numerical investigations or report on full scale projects. Electrical and Electronic Engineering. It stands as a international medium for the publication of original papers concerned with the electrical and electronic engineering. The journal aims to present to the international community important results of work in this field, whether in the form of research, development, application or design. Mechanical, Materials and Manufacturing Engineering. It is a platform for the publication and dissemination of original work which contributes to the understanding of the main disciplines underpinning the mechanical, materials and manufacturing engineering. Original contributions giving insight into engineering practices related to mechanical, materials and manufacturing engineering form the core of the journal contents.