Linked Life Data

21115445

Source:http://linkedlifedata.com/resource/pubmed/id/21115445

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-4
pubmed:dateCreated
2011-3-31
pubmed:abstractText
In the case of a radiological emergency situation, involving accidental human exposure, it is necessary to establish as soon as possible a dosimetry evaluation. In most cases, this evaluation is based on numerical representations and models of the victims. Unfortunately, personalised and realistic human representations are often unavailable for the exposed subjects. Hence, existing models like the 'Reference Man' representative of the average male individual are used. However, the accuracy of the treatment depends on the similarity of the phantom to the victim. The EquiVox platform (Research of Equivalent Voxel phantom) developed in this work uses the case-based reasoning principles to retrieve, from a set of existing phantoms, the most adapted one to represent the victim. This paper introduces the EquiVox platform and gives the example of in vivo lung monitoring optimisation to prove its efficiency in choosing the right model. It also presents the artificial neural network tools being developed to adapt the model to the victim.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1742-3406
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
144
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
564-70
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Development of a new CBR-based platform for human contamination emergency situations.
pubmed:affiliation
French Institute of Radiological Protection and Nuclear Safety, Internal Dose Assessment Laboratory, DRPH/SDI/LEDI, BP-17, F-92262 Fontenay-aux-Roses, France.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't