Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis

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Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/jamia/HanauerSZMSAR14
P356DOI10.1136/AMIAJNL-2014-002767
P3181OpenCitations bibliographic resource ID1483258
P932PMC publication ID4147617
P698PubMed publication ID24928177
P5875ResearchGate publication ID263098841

P50authorKerby SheddenQ73554789
P2093author name stringDavid A Hanauer
Kai Zheng
Qiaozhu Mei
Alan R Aronson
Naren Ramakrishnan
Mohammed Saeed
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P433issue5
P407language of work or nameEnglishQ1860
P921main subjectdata setQ1172284
MEDLINEQ1540899
P304page(s)925-937
P577publication date2014-06-13
P1433published inJournal of the American Medical Informatics AssociationQ152037
P1476titleApplying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis
P478volume21

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cites work (P2860)
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Q36024137Text Mining of Journal Articles for Sleep Disorder Terminologies.

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