Automatic extraction of semantic relations between medical entities: a rule based approach

scientific article published on 06 October 2011

Automatic extraction of semantic relations between medical entities: a rule based approach is …
instance of (P31):
scholarly articleQ13442814

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P6179Dimensions Publication ID1019300038
P356DOI10.1186/2041-1480-2-S5-S4
P932PMC publication ID3239304
P698PubMed publication ID22166723

P50authorPierre ZweigenbaumQ55231014
Asma Ben AbachaQ90879471
P2860cites workEffective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap programQ29614363
Extracting semantic predications from Medline citations for pharmacogenomicsQ30835677
Identifying risk factors for metabolic syndrome in biomedical text.Q33359171
A study of biomedical concept identification: MetaMap vs. people.Q34685071
Comparing natural language processing tools to extract medical problems from narrative textQ35018346
Argument identification for arterial branching predications asserted in cardiac catheterization reports.Q36460863
Automatic knowledge acquisition from MEDLINE.Q36764027
Continuing medical education: actually learning rather than simply listeningQ52201095
Expert systems for medicine--functions and developmentsQ62494553
Robust relational parsing over biomedical literature: extracting inhibit relationsQ77862452
P921main subjectautomationQ184199
P304page(s)S4
P577publication date2011-10-06
P1433published inJournal of Biomedical SemanticsQ6294854
P1476titleAutomatic extraction of semantic relations between medical entities: a rule based approach
P478volume2 Suppl 5

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cites work (P2860)
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Q61939808MeSH qualifiers, publication types and relation occurrence frequency are also useful for a better sentence-level extraction of biomedical relations
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