Application of machine learning for detecting high fall risk in middle-aged workers using video-based analysis of the first 3 steps.

Journal: Journal of occupational health
PMID: 39792357

Abstract

OBJECTIVES: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first 3 steps in middle-aged workers.

Authors

  • Naoki Sakane
    Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto 612-8555, Japan.
  • Ken Yamauchi
    Institute of Physical Education, Keio University, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8521, Japan.
  • Ippei Kutsuna
    Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto 612-8555, Japan.
  • Akiko Suganuma
    Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto 612-8555, Japan.
  • Masayuki Domichi
    Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, 1-1 Mukaihata-cho, Fukakusa, Fushimi-ku, Kyoto 612-8555, Japan.
  • Kei Hirano
    Department of Electric Works Company/Engineering Division, Panasonic Corporation,1006, Kadoma, Kadoma City, Osaka 571-8501, Japan.
  • Kengo Wada
    Department of Electric Works Company/Engineering Division, Panasonic Corporation,1006, Kadoma, Kadoma City, Osaka 571-8501, Japan.
  • Masashi Ishimaru
    Department of Electric Works Company/Engineering Division, Panasonic Corporation,1006, Kadoma, Kadoma City, Osaka 571-8501, Japan.
  • Mitsuharu Hosokawa
    Department of Electric Works Company/Engineering Division, Panasonic Corporation,1006, Kadoma, Kadoma City, Osaka 571-8501, Japan.
  • Yosuke Izawa
    Department of Electric Works Company/Engineering Division, Panasonic Corporation,1006, Kadoma, Kadoma City, Osaka 571-8501, Japan.
  • Yoshihiro Matsumura
    Department of Electric Works Company/Engineering Division, Panasonic Corporation,1006, Kadoma, Kadoma City, Osaka 571-8501, Japan.
  • Junichi Hozumi
    Department of Electric Works Company/Engineering Division, Panasonic Corporation,1006, Kadoma, Kadoma City, Osaka 571-8501, Japan.

Keywords

External Resources

Popular Topics
Recent Journals