B-4-2 Risk Adjustor and Level Acceptable for Human Injury(Problems of Biomedical technology(2))
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- Matsuura HIROYUKI
- Department of Gerontology, National Center for Geriatrics and Gerontology
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- Tamagawa MASAAKI
- Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
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- Nakano MASAHIRO
- Department of Health and Medicine, Jyunshin Gakuen University
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- Yamanaka MAKOTO
- Department of Health and Medicine, Jyunshin Gakuen University
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- Yukimasa TORU
- Faculty of Medicine, University of Occupational and Environmental Health
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- Nemoto TETSUYA
- Department of Gerontology, National Center for Geriatrics and Gerontology
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- Kubota RYO
- Department of Gerontology, National Center for Geriatrics and Gerontology
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- Ishikawa KOUSUKE
- Department of Gerontology, National Center for Geriatrics and Gerontology
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- Matsuzaki TERUMI
- Department of Gerontology, National Center for Geriatrics and Gerontology
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- Kondo RIE
- Department of Gerontology, National Center for Geriatrics and Gerontology
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- Kamiya NAOKI
- Department of Gerontology, National Center for Geriatrics and Gerontology
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- 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
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- Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
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Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association 25 (0), 139-142, 2012
Biomedical Fuzzy Systems Association
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Details 詳細情報について
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- CRID
- 1390001205229120384
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- NII Article ID
- 110009620004
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- ISSN
- 24242586
- 13451510
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- Text Lang
- en
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed