Probabilistic approaches for body fluid identification using RNA-data
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2018-12-03
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en
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Abstract
In forensics, body fluid identification is used to determine the type of body
fluid found at a crime scene. The Department of Human Biological Traces of
the Netherlands Forensic Institute uses an mRNA-based multi-marker approach.
They use a categorical model to perform body fluid identification.
The problem when using this method is the fact that no statement can be
made about the uncertainty of the results. The use of a probabilistic model
can solve this problem.
Three probabilistic models from earlier research are reproduced and several
other probabilistic methods are added to classify single body fluid samples.
In actual casework, however, samples are made up of multiple body fluids.
Alternative approaches based on multi-label classification, using the
probabilistic methods created for the single body fluid classification, are implemented
to classify these mixture samples.
For the single body fluid sample classification the Multinomial Logistic Regression
and Multilayer Perceptron models result in a classification accuracy
of 88.2% and 91.2% and are therefore the models that classify the samples
most accurately. The multi-label model using a Multilayer Perceptron in
combination with the label power set method gives the most accurate outcomes
on both the multiple body fluid samples (accuracy of 86.8%) as well
as the single body fluid samples (accuracy of 89.3%). The multi-label model
is implemented in a tool that can be used to analyze samples from actual
casework.
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Faculteit der Sociale Wetenschappen