Bayesian networks for victim identification on the basis of DNA profiles
| Autor: | Klaas Slooten, C.J. Bruijning-van Dongen, Wim Wiegerinck, Willem Burgers |
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| Rok vydání: | 2009 |
| Předmět: |
Missing person
Matching (statistics) Basis (linear algebra) Computer science business.industry Process (computing) Bayesian network Machine learning computer.software_genre Bioinformatics Pathology and Forensic Medicine Forensic identification Identification (information) Software Genetics Artificial intelligence business computer |
| Zdroj: | Forensic Science International: Genetics Supplement Series. 2:466-468 |
| ISSN: | 1875-1768 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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