Models for the prediction of severe injury

Gimotty, Phyllis A.; Chirachavala, Thipatai

Affiliations

¹The University of Michigan, Highway Safety Research Institute, Ann Arbor, Michigan

Abstract

The data from the National Crash Severity Study (NCSS) were used to investigate the relationship between occupant injury severity and associated crash conditions. Models that predict an individual's probability of severe injury are presented for side and front impacts. The most important variables in predicting injury severity were found to be Delta V (a measure of crash severity) and occupant age. Although the overall predictive capability of the injury severity models was good, the proportion of correct prediction of cases with severe injury was low. Model mispredictions were analyzed to characterize specific injuries for which the assigned levels of severity were inconsistent with the models.

Cited Works (2)

Year	Entry
1976	The Abbreviated Injury Scale (AIS) 1976 Revision. Morton Grove, IL: Association for the Advancement of Automotive Medicine (AAAM); 1976.
1976	Kahane CJ, Smith RA, Tharpe KJ. The National Crash Severity Study. In: Proceedings of the 6th International Technical Conference on Experimental Safety Vehicles (ESV). October 12-15, 1976; Washington, D.C.493-516.

Cited By (1)

Year	Entry
1988	Thomas P, Bradford M. Side impact severity: the use of discriminant analysis to classify injury. In: Proceedings of the 1988 International IRCOBI Conference on the Biomechanics of Impact. September 14-16, 1988; Bergisch-Gladbach, West Germany.131-146.