|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
5
|
|
pubmed:dateCreated |
2003-11-6
|
|
pubmed:abstractText |
To establish the minimun set of features needed in the diagnosis of calvarial lesions using computed tomography (CT) and to assess the accuracy of logistic regression (LR) and artificial neural networks (NN) for their diagnosis.
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|
pubmed:language |
spa
|
|
pubmed:journal |
|
|
pubmed:citationSubset |
IM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Oct
|
|
pubmed:issn |
1130-1473
|
|
pubmed:author |
|
|
pubmed:issnType |
Print
|
|
pubmed:volume |
14
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
377-84
|
|
pubmed:dateRevised |
2006-11-15
|
|
pubmed:meshHeading |
pubmed-meshheading:14603384-Adolescent,
pubmed-meshheading:14603384-Adult,
pubmed-meshheading:14603384-Aged,
pubmed-meshheading:14603384-Aged, 80 and over,
pubmed-meshheading:14603384-Child,
pubmed-meshheading:14603384-Child, Preschool,
pubmed-meshheading:14603384-Female,
pubmed-meshheading:14603384-Humans,
pubmed-meshheading:14603384-Infant,
pubmed-meshheading:14603384-Male,
pubmed-meshheading:14603384-Middle Aged,
pubmed-meshheading:14603384-Neural Networks (Computer),
pubmed-meshheading:14603384-Regression Analysis,
pubmed-meshheading:14603384-Reproducibility of Results,
pubmed-meshheading:14603384-Skull Neoplasms,
pubmed-meshheading:14603384-Tomography, X-Ray Computed
|
|
pubmed:year |
2003
|
|
pubmed:articleTitle |
[Diagnosis of calvarial lesions. Feature selection by neural network and logistic regression].
|
|
pubmed:affiliation |
Servicios de Radiodiagnóstico de Clínica Quirón, Valencia, Spain.
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|
pubmed:publicationType |
Journal Article,
Comparative Study,
English Abstract
|
