Identification of Factors Influencing Injury Severity Prediction (ISP) in Real World Accident Based on NASS-CDS-Reference-Cited by-同舟云学术

Identification of Factors Influencing Injury Severity Prediction (ISP) in Real World Accident Based on NASS-CDS

Published:2015 Issue:4 Volume:6 Page:119-125
ISSN:2185-0984
Container-title:International Journal of Automotive Engineering
language:en
Short-container-title:IJAE

Author:

Chinmoy Pal¹,Okabe Tomosaburo¹,Vimalathithan Kulothungan²,Narahari Sangolla²,Jeyabharath Manoharan²,Wang Stewart³,John Combest⁴

Affiliation:

1. NISSAN Motor

2. Renault Nissan Technology Business Center

3. University of Michigan

4. Nissan Technical Center North America

Publisher

Society of Automotive Engineers of Japan, Inc.

Subject

Fluid Flow and Transfer Processes,Safety, Risk, Reliability and Quality,Automotive Engineering,Human Factors and Ergonomics

Link

https://www.jstage.jst.go.jp/article/jsaeijae/6/4/6_20154068/_pdf

Reference5 articles.

1. David G. Kleinbaum Mitchel Klein, Logistic Regression, A Self Learning Text, Third Edition. ISBN: 978-1-4419-1741-6.

2. Applied Logistic Regression, 3rd Edition, David W. Hosmer, Jr., Stanley Lemeshow, Rodney X. Sturdivant ISBN: 978-0-470- 58247-3.

3. Bahouth, G., Digges, K.H., Bedewi, N.E., Kuznetsov, et al., 2004, Development of URGENCY 2.1 for the prediction of crash injury severity, Topics in Emergency Medicine Vol.26, No.2, pp 157-165 (2004).

4. CDC Expert Panel Recommendations, 2008: Advanced Automatic Collision Notification and Triage of the Injured Patient, Vol.1, pp 1-20, (2008)

5. http://www.cdc.gov/ injuryresponse/pdf/ AACN%20Report_FINAL-a.pdf, (accessed 2014.12.1).

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