Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2010-2-16
pubmed:abstractText
Logistic regression is the most common statistical model for processing multivariate data in the medical literature. Artificial intelligence models like an artificial neural network (ANN) and genetic algorithm (GA) may also be useful to interpret medical data.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-10893576, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-11569876, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-12426263, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-12629337, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-12693873, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-12699480, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-12991237, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-14449617, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-15222521, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-15774048, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-16271675, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-16627832, http://linkedlifedata.com/resource/pubmed/commentcorrection/20157451-19078833
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
1865-1380
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
99-105
pubmed:dateRevised
2010-9-28
pubmed:year
2009
pubmed:articleTitle
Artificial neural network, genetic algorithm, and logistic regression applications for predicting renal colic in emergency settings.
pubmed:affiliation
Department of Emergency Medicine, Akdeniz University Medical, Antalya, Turkey. cenkereken@akdeniz.edu.tr
pubmed:publicationType
Journal Article