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Andrade, M. A. P. & Ferreira, M. A. M. (2009). Criminal and Civil Identification with DNA Databases Using Bayesian Networks. International Journal of Security (IJS). 3 (4), 65-74

M. A. Andrade and M. A. Ferreira,  "Criminal and Civil Identification with DNA Databases Using Bayesian Networks", in Int. Journal of Security (IJS), vol. 3, no. 4, pp. 65-74, 2009

@article{andrade2009_1764921096697,
	author = "Andrade, M. A. P. and Ferreira, M. A. M.",
	title = "Criminal and Civil Identification with DNA Databases Using Bayesian Networks",
	journal = "International Journal of Security (IJS)",
	year = "2009",
	volume = "3",
	number = "4",
	pages = "65-74",
	url = "https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJS-21"
}

TY  - JOUR
TI  - Criminal and Civil Identification with DNA Databases Using Bayesian Networks
T2  - International Journal of Security (IJS)
VL  - 3
IS  - 4
AU  - Andrade, M. A. P.
AU  - Ferreira, M. A. M.
PY  - 2009
SP  - 65-74
UR  - https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJS-21
AB  - Forensic identification problems are examples in which the study of DNA profiles
is a common approach. Here we present some problems and develop their
treatment putting the focus in the use of Object-Oriented Bayesian Networks -
OOBN. The use of DNA databases, which began in 1995 in England, has
created new challenges about its use. In Portugal the legislation for the
construction of a genetic database was defined in 2008. With this it is important
to determine how to use it in an appropriate way.
For a crime that has been committed, forensic laboratories identify genetic
characteristics in order to connect one or more individuals to it. Apart the
laboratories results it is a matter of great importance to quantify the information
obtained, i.e., to know how to evaluate and interpret the results obtained
providing support to the judicial system. Other forensic identification problems
are body identification; whether the identification of a body (or more than one)
found, together with the information of missing persons belonging to one or more
known families, for which there may be information of family members who
claimed the disappearance. In this work we intend to discuss how to use the
database; the hypotheses of interest and the database use to determine the
likelihood ratios, i.e., how to evaluate the evidence for different situations.
ER  -