International Journal of Automotive Engineering
Online ISSN : 2185-0992
ISSN-L : 2185-0992
Research Paper
Effect of Abbrevieted Injury Scale (AIS) Change on Injury Severity Prediction for Advanced Automatic Crash Notification (AACN)
Chinmoy PalShigeru HirayamaNarahari SangollaJeyabharath ManoharanVimalathithan KulothunganWang StewartJohn Combest
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ジャーナル オープンアクセス

2017 年 8 巻 2 号 p. 71-78

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抄録
In this paper, two versions of the Abbreviated Injury Scale codes (AIS98 and AIS08) were used to develop Injury Severity Prediction algorithms with the help of NASS-CDS (US) 2009-2012 database. Some severe injuries in the AIS98 are scaled as less severe in the AIS08, especially in head and thorax regions; but in other body regions, there are no significant changes. Changes in AIS severity level will affect the distribution around the Injury Severity Score equal to 15, the threshold level for serious/minor injury judgment and hence leads to change in Injury Severity Prediction (ISP) prediction value related to AACN. The total number of false cases reduced for ISP algorithm formulated with AIS08 code when compared to that of AIS98 code. The proposed modified ISP algorithm is more efficient for both the AIS codes (98 and 08) than the original publicly available Kononen’s algorithm.
著者関連情報
© 2017 Society of Automotive Engineers of Japan, Inc

This article is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 4.0 International] license.
https://creativecommons.org/licenses/by-nc-sa/4.0/
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