14642871

Source:http://linkedlifedata.com/resource/pubmed/id/14642871

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0009219, umls-concept:C0175677, umls-concept:C1135957, umls-concept:C1511726, umls-concept:C1513894
pubmed:issue	2
pubmed:dateCreated	2003-12-3
pubmed:abstractText	To investigate the accuracy of a computerized method for classifying injury narratives into external-cause-of-injury and poisoning (E-code) categories.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/1254476
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Mar
pubmed:issn	0001-4575
pubmed:author	pubmed-author:LehtoMark RMR, pubmed-author:SmithGordon SGS, pubmed-author:SorockGary SGS, pubmed-author:WellmanHelen MHM
pubmed:issnType	Print
pubmed:volume	36
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	165-71
pubmed:dateRevised	2004-11-17
pubmed:meshHeading	pubmed-meshheading:14642871-Forms and Records Control, pubmed-meshheading:14642871-Fuzzy Logic, pubmed-meshheading:14642871-Health Surveys, pubmed-meshheading:14642871-Humans, pubmed-meshheading:14642871-Medical Records Systems, Computerized, pubmed-meshheading:14642871-Models, Theoretical, pubmed-meshheading:14642871-Predictive Value of Tests, pubmed-meshheading:14642871-Software, pubmed-meshheading:14642871-Trauma Severity Indices, pubmed-meshheading:14642871-United States, pubmed-meshheading:14642871-Wounds and Injuries
pubmed:year	2004
pubmed:articleTitle	Computerized coding of injury narrative data from the National Health Interview Survey.
pubmed:affiliation	Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA. helen.wellman@libertymutual.com
pubmed:publicationType	Journal Article, Evaluation Studies