Bayesian networks for victim identification on the basis of DNA profiles

Abstract

We have developed software to improve screening and matching routine for victim identification based on DNA profiles. The software, called Napoleon/Bonaparte, uses Bayesian networks for the analysis. It is designed for effective handling of the identification process in case of a large disaster with many victims and can be applied in the missing person program. In this paper we will describe the Bayesian network approach and we will discuss some of the additional features to handle events with many victims. © 2009 Elsevier Ireland Ltd. All rights reserved.