TY  - JOUR
PY  - 2020//
TI  - Application of a Bayesian network to aid the interpretation of blood alcohol (ethanol) concentrations in air crashes
JO  - Forensic science international
A1  - Maskell, Peter D.
A1  - Jackson, Graham
SP  - e110174
EP  - e110174
VL  - 308
IS  - 
N2  - In the investigation of a fatal air crash, it is important to determine if the pilot, at the time of death, was contravening the regulations in relation to 1) the permitted concentration of ethanol (alcohol) in the blood and 2) whether the pilot had consumed alcohol within a specified period before flying. It is also important to assess whether any alcohol detected in the toxicological samples was present either because of consumption or because of post-mortem alcohol formation. We have developed a Bayesian Network that models the relationships between analytical results, circumstantial evidence and the concentration of alcohol at the time of death in cases of air crash. The model provides a rational, coherent approach to forensic interpretation, moving interpretation from a largely subjective, generalist approach to a more objective, case-specific methodology utilising available relevant data and accommodating the inevitable uncertainties within a case.<br><br>Copyright © 2020 Elsevier B.V. All rights reserved.<p />  <p>Language: en</p>
LA  - en
SN  - 0379-0738
UR  - http://dx.doi.org/10.1016/j.forsciint.2020.110174
ID  - ref1
ER  -