使用SVM-RFE确定与气相关的个别因素
Hidetoshi Nakao1, Masakazu Imaoka2, Mitsumasa Hida2
1Faculty of Social Work Studies, Josai International University, Chiba, Japan. h_nakao@jiu.ac.jp.
BMC musculoskeletal disorders
|June 29, 2023
概括
年龄和性别是关键因素,与气 (HV) 相关,这是一个足部疾病. 这项研究使用先进的数据分析技术确定了这些重要的贡献者.
科学领域:
- 整形外科 整形外科 整形外科
- 生物统计学 生物统计学
- 足部医学是一门专业.
背景情况:
- (HV) 是一种常见的脚形.
- 了解导致HV的因素对于预防和治疗至关重要.
- 之前的研究已经探讨了HV的各种风险因素.
研究的目的:
- 识别和排名与气 (HV) 相关的因素.
- 利用机器学习,特别是支持矢量机器-递归特征消除 (SVM-RFE),进行因子分析.
- 为了确定内部因素在HV发展中的相对重要性.
主要方法:
- 一项涉及864名年龄在18岁及以上的参与者的横截面研究.
- 用曼彻斯特尺度 (两只脚的总分≥4) 确定气的存在.
- 数据收集包括年龄,性别,身高,体重和脚部测量,并使用SVM-RFE进行分析.
主要成果:
- 在SVM-RFE分析中,年龄,性别和体重被确定为与HV相关的重要因素.
- 妇女 (24.9%) 的HV患病率高于男性 (7.6%),尽管这一差异在老年人中减少.
- 分析突出了所选的人口和人类学变量的预测能力.
结论:
- 年龄和性别是与气相关的重要因素.
- SVM-RFE是一种有效的方法来识别HV的关键贡献者.
- 进一步的研究可以在这些发现的基础上进行针对性干预.
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