Recognizing Questions and Answers in EMR Templates Using Natural Language Processing

scientific article published on January 2014

Recognizing Questions and Answers in EMR Templates Using Natural Language Processing is …
instance of (P31):
scholarly articleQ13442814

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P698PubMed publication ID25000038

P50authorMatthew SamoreQ63144416
Adi V. GundlapalliQ110495182
Marjorie E CarterQ110541884
P2093author name stringGuy Divita
Shuying Shen
Andrew Redd
Miland Palmer
Tyler Forbush
P921main subjectnatural language processingQ30642
P304page(s)149-152
P577publication date2014-01-01
P1433published inStudies in Health Technology and InformaticsQ15817805
P1476titleRecognizing Questions and Answers in EMR Templates Using Natural Language Processing
P478volume202

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cites work (P2860)
Q35570271Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records
Q64055550Moonstone: a novel natural language processing system for inferring social risk from clinical narratives
Q89450051Novel methodology to measure pre-procedure antimicrobial prophylaxis: integrating text searches with structured data from the Veterans Health Administration's electronic medical record
Q36147670v3NLP Framework: Tools to Build Applications for Extracting Concepts from Clinical Text

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