Detecting concept relations in clinical text: Insights from a state-of-the-art model

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1016/j.jbi.2012.11.006
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Affiliation
  1. National Research Council of Canada. NRC Institute for Information Technology
FormatText, Article
SubjectElectronic health record; Knowledge sources; Medical concepts; NAtural language processing; Real-world scenario; Semantic relations; State of the art; Text mining; Algorithms; Artificial intelligence; Data mining; Medical problems; Semantics; Natural language processing systems; accuracy; data extraction; kernel method; semantics
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LanguageEnglish
Peer reviewedYes
NPARC number21269982
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Record identifier6e865eaf-0f5a-43e7-82f4-ae2d16f652c5
Record created2013-12-13
Record modified2020-04-22
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