Applying the K-nearest neighbor technique to the classification of workers according to their risk of suffering musculoskeletal disorders
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- 作者：A. Suá ; rez Sá ; ncheza ; suarezana@uniovi.es" class="auth_mail" title="E-mail the corresponding author ; F.J. Iglesias-Rodrí ; gueza ; P. Riesgo Ferná ; ndeza ; F.J. de Cos Juezb
- 关键词：Work-related musculoskeletal disorders ; Risk factor assessment ; K-nearest neighbor technique ; Categorical variable
- 刊名：International Journal of Industrial Ergonomics
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：52
- 期：Complete
- 页码：92-99
- 全文大小：508 K
文摘
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K-nearest neighbor technique can predict WMSD successfully.
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The algorithm identifies those workers that had reported WMSDs.
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Workplace design factors influence strongly the development of WMSDs.
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Working in a too humid or too dry environment can lead to suffering WMSDs.