...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Industrial Ergonomics >Prediction of work-related musculoskeletal discomfort in the meat processing industry using statistical models
【24h】

Prediction of work-related musculoskeletal discomfort in the meat processing industry using statistical models

机译：利用统计模型预测肉类加工行业的工作相关肌肉骨骼不适

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Musculoskeletal disorders are one of the most common occupational disorders in the manufacturing industry, and cause pain, suffering, disability and a decrease in productivity. The objective of this study was the development of statistical models for the prediction of work-related musculoskeletal discomfort. A sample of 174 workers of the meat processing industry was taken. Diverse ergonomic evaluation methods were applied on data collected by means of direct observation and surveys. Later, pattern recognition techniques were used to identify the relevant predictor variables from an initial set of 20 variables. A prevalence of musculoskeletal discomfort of 77% was found. The most suitable classification models to predict the discomfort were the models based on logistic regression and decision trees. Statistical models were obtained to predict discomfort in shoulders, back, hands/wrists and neck with a precision between 83.3% and 90.2%. The findings can be useful to guide improvement initiatives according to the specific characteristics of the job and the profile of the worker.
机译：肌肉骨骼疾病是制造业中最常见的职业障碍之一，并引起疼痛，痛苦，残疾和生产率的降低。本研究的目的是开发统计模型，用于预测工作相关的肌肉骨骼不适。采取了174名工业工人的样本。各种符合人体工程学评估方法应用于通过直接观察和调查收集的数据。稍后，使用模式识别技术来识别来自初始20个变量的相关预测变量。发现了77％的肌肉骨骼不适的患病率。最合适的分类模型预测不适是基于逻辑回归和决策树的模型。获得统计模型以预测肩部，背部，手/手腕和颈部的不适，精度在83.3％和90.2％之间。根据工作的具体特征和工人的个人资料，调查结果可用于指导改进举措。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号