A machine learning-based approach for precision risk stratification and multifactorial analysis of needlestick injuries in oral and maxillofacial surgery nursing.

Journal: BMC nursing
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Needlestick injuries are a significant occupational hazard for oral and maxillofacial surgery nurses. This hazard results from complex procedures, limited workspace, and frequent handling of sharp instruments. This study uses advanced clustering and dimensionality reduction techniques to identify high-risk groups and key contributing factors.

Authors

  • Xiulan Deng
    Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250014, China.
  • Jiayang Han
    School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
  • Linlin Yin
    Jinan Keen Dental Hospital, Jinan, Shandong, 250000, China.
  • Yongzhi Pang
    Jinan Dental Hospital, Jinan, Shandong, 250001, China.
  • Qingbin Han
    Department of Oral and Maxillofacial Surgery, Linyi People's Hospital, Lin'yi, 276000, China.
  • Lu Zhao
    Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
  • Wenlei Liu
    School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. liuwenlei1016@163.com.
  • Qing Li
    Department of Internal Medicine, University of Michigan Ann Arbor, MI 48109, USA.

Keywords

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