B-4-2 Risk Adjustor and Level Acceptable for Human Injury(Problems of Biomedical technology(2))

DOI
  • Matsuura HIROYUKI
    Department of Gerontology, National Center for Geriatrics and Gerontology
  • Tamagawa MASAAKI
    Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
  • Nakano MASAHIRO
    Department of Health and Medicine, Jyunshin Gakuen University
  • Yamanaka MAKOTO
    Department of Health and Medicine, Jyunshin Gakuen University
  • Yukimasa TORU
    Faculty of Medicine, University of Occupational and Environmental Health
  • Nemoto TETSUYA
    Department of Gerontology, National Center for Geriatrics and Gerontology
  • Kubota RYO
    Department of Gerontology, National Center for Geriatrics and Gerontology
  • Ishikawa KOUSUKE
    Department of Gerontology, National Center for Geriatrics and Gerontology
  • Matsuzaki TERUMI
    Department of Gerontology, National Center for Geriatrics and Gerontology
  • Kondo RIE
    Department of Gerontology, National Center for Geriatrics and Gerontology
  • Kamiya NAOKI
    Department of Gerontology, National Center for Geriatrics and Gerontology
  • Kubota MASAMI
    Japan Automobile Research Institute (JARI)

Abstract

We have been studying the comprehensive risk adjustors of human injuries for falling, descent and glitch of intelligent machines, by utilizing dummies (Hyb-III) in JARI. We searched a relationship between physical Impacts on human body and medical trauma scale. Thus, we adopted the clinical indicator TRISS, which is composed of three types of risk adjustor - anatomic, physiological, and comorbid. And they could be easily combined so that information from all three sources is used to predict outcome of human injury. We conclude the level acceptable as TRISS > 0.980 ifNISS <4 and RTS > 7.8404. This level meant all AIS sores to be less than or equal 1.

Journal

Details 詳細情報について

  • CRID
    1390001205229120384
  • NII Article ID
    110009620004
  • DOI
    10.24466/pacbfsa.25.0_139
  • ISSN
    24242586
    13451510
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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