Estimation of the number of seriously injured road traffic casualties in Germany based on GIDAS, using a decision tree method and the TraumaRegister DGU<sup>®</sup>

Niesen, S.; Auerbach, K.; Lerner, M.; Pastor, C.; Schepers, A.; Wisch, M.; Lefering, R.; Malczyk, A.; Schmucker, U.

Niesen, S.¹; Auerbach, K.¹; Lerner, M.¹; Pastor, C.¹; Schepers, A.¹; Wisch, M.¹; Lefering, R.²; Malczyk, A.³; Schmucker, U.⁴

Estimation of the number of seriously injured road traffic casualties in Germany based on GIDAS, using a decision tree method and the TraumaRegister DGU^®

Proceedings of the 2016 International IRCOBI Conference on the Biomechanics of Injury

Affiliations

¹Federal Highway Research Institute (BASt), German

²University of Witten/Herdecke, Germany

³German Insurers Accident Research (UDV)

⁴Academy for Trauma Surgery (AUC), Germany
Links

URL: http://www.ircobi.org/wordpress/downloads/irc16/pdf-files/19.pdf

Cited Works (2)

Year	Entry
2008	The Abbreviated Injury Scale 2005, Update 2008. ?: Association for the Advancement of Automotive Medicine (AAAM); 2008.
2013	Otte D, Jänsch M, Pund B, Duntsch K. Accident causation factor analysis of traffic accidents on the example of elderly car drivers using the causation analysis tool ACAS. In: Proceedings of the 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV). May 27-30, 2013; Seoul, South Korea.