Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACN

To improve the accuracy of Injury Severity Prediction in the event of vehicle crash, a new methodology is proposed using the US vehicle accident database (NASS-CDS). This proposed method is an extension of the base algorithm introduced by Kononen et al. in which, some of the additional variables wer...

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Main Authors: Chinmoy Pal, Tomosaburo Okabe, Vimalathithan Kulothungan, Narahari Sangolla, Jeyabharath Manoharan, Wang Stewart, John Combest
Format: Article
Language:English
Published: Society of Automotive Engineers of Japan, Inc. 2016-01-01
Series:International Journal of Automotive Engineering
Online Access:https://www.jstage.jst.go.jp/article/jsaeijae/7/1/7_20164079/_article/-char/en
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author Chinmoy Pal
Tomosaburo Okabe
Vimalathithan Kulothungan
Narahari Sangolla
Jeyabharath Manoharan
Wang Stewart
John Combest
author_facet Chinmoy Pal
Tomosaburo Okabe
Vimalathithan Kulothungan
Narahari Sangolla
Jeyabharath Manoharan
Wang Stewart
John Combest
author_sort Chinmoy Pal
collection DOAJ
description To improve the accuracy of Injury Severity Prediction in the event of vehicle crash, a new methodology is proposed using the US vehicle accident database (NASS-CDS). This proposed method is an extension of the base algorithm introduced by Kononen et al. in which, some of the additional variables were introduced and branched logistic regression methodology was used. Results suggest that the proposed branching method has some advantage over the base algorithm due to better linearization of the complex multidimensional non-linear relationship of the input and output variables.
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spelling doaj.art-f101398f72ba4f068a67d3f7c2f695d92023-12-28T07:20:20ZengSociety of Automotive Engineers of Japan, Inc.International Journal of Automotive Engineering2185-09922016-01-0171152210.20485/jsaeijae.7.1_15Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACNChinmoy Pal0Tomosaburo Okabe1Vimalathithan Kulothungan2Narahari Sangolla3Jeyabharath Manoharan4Wang Stewart5John Combest6NISSAN MotorNISSAN MotorRenault Nissan Technology Business CenterRenault Nissan Technology Business CenterRenault Nissan Technology Business CenterUniversity of MichiganNissan Technical Center North AmericaTo improve the accuracy of Injury Severity Prediction in the event of vehicle crash, a new methodology is proposed using the US vehicle accident database (NASS-CDS). This proposed method is an extension of the base algorithm introduced by Kononen et al. in which, some of the additional variables were introduced and branched logistic regression methodology was used. Results suggest that the proposed branching method has some advantage over the base algorithm due to better linearization of the complex multidimensional non-linear relationship of the input and output variables.https://www.jstage.jst.go.jp/article/jsaeijae/7/1/7_20164079/_article/-char/en
spellingShingle Chinmoy Pal
Tomosaburo Okabe
Vimalathithan Kulothungan
Narahari Sangolla
Jeyabharath Manoharan
Wang Stewart
John Combest
Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACN
International Journal of Automotive Engineering
title Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACN
title_full Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACN
title_fullStr Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACN
title_full_unstemmed Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACN
title_short Factors Influencing Specificity and Sensitivity of Injury Severity Prediction (ISP) Algorithm for AACN
title_sort factors influencing specificity and sensitivity of injury severity prediction isp algorithm for aacn
url https://www.jstage.jst.go.jp/article/jsaeijae/7/1/7_20164079/_article/-char/en
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