Avoiding background knowledge: literature based discovery from important information

被引:0
作者
Judita Preiss
机构
[1] University of Sheffield,Information School
来源
BMC Bioinformatics | / 23卷
关键词
Literature based discovery; Subject–predicate–object triples; Machine learning; Timeslicing gold standard;
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  • [1] Smalheiser NR(1997)Calcium-independent phospholipase a2 and schizophrenia Arch Gen Psychiatry 55 752-753
  • [2] Swanson DR(2013)Using literature-based discovery to identify novel therapeutic approaches Cardiovasc Hematol Agents Med Chem 11 14-24
  • [3] Hristovski D(1986)Fish oil, Raynaud’s syndrome, and undiscovered public knowledge Perspect Biol Med 30 7-18
  • [4] Rindflesch T(2018)A collaborative filtering-based approach to biomedical knowledge discovery Bioinformatics 34 652-659
  • [5] Peterlin B(2004)The unified medical language system (UMLS): integrating biomedical terminology Nucleic Acids Res 32 267-270
  • [6] Swanson DR(2009)A new evaluation methodology for literature-based discovery J Biomed Inform 42 633-643
  • [7] Lever J(2003)The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text J Biomed Inform 36 462-477
  • [8] Gakkhar S(2010)Epiphanet: an interactive tool to support biomedical discoveries J Biomed Discov Collab 5 21-49
  • [9] Gottlieb M(2015)Exploring relation types for literature-based discovery J Am Med Inform Assoc 22 987-992
  • [10] Rashnavadi T(2012)SemMedDB: a PubMed-scale repository of biomedical semantic predications Bioinformatics 28 3158-60