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PUBMED FOR HANDHELDS

Journal Abstract Search


117 related items for PubMed ID: 22168401

  • 21. Using MEDLINE as a knowledge source for disambiguating abbreviations and acronyms in full-text biomedical journal articles.
    Yu H, Kim W, Hatzivassiloglou V, Wilbur WJ.
    J Biomed Inform; 2007 Apr; 40(2):150-9. PubMed ID: 16843731
    [Abstract] [Full Text] [Related]

  • 22. Exploring subdomain variation in biomedical language.
    Lippincott T, Séaghdha DÓ, Korhonen A.
    BMC Bioinformatics; 2011 May 27; 12():212. PubMed ID: 21619603
    [Abstract] [Full Text] [Related]

  • 23. Identification of transcription factor contexts in literature using machine learning approaches.
    Yang H, Nenadic G, Keane JA.
    BMC Bioinformatics; 2008 Apr 11; 9 Suppl 3(Suppl 3):S11. PubMed ID: 18426546
    [Abstract] [Full Text] [Related]

  • 24. Protein-protein interaction extraction by leveraging multiple kernels and parsers.
    Miwa M, Saetre R, Miyao Y, Tsujii J.
    Int J Med Inform; 2009 Dec 11; 78(12):e39-46. PubMed ID: 19501018
    [Abstract] [Full Text] [Related]

  • 25. Biomedical text summarization to support genetic database curation: using Semantic MEDLINE to create a secondary database of genetic information.
    Workman TE, Fiszman M, Hurdle JF, Rindflesch TC.
    J Med Libr Assoc; 2010 Oct 11; 98(4):273-81. PubMed ID: 20936065
    [Abstract] [Full Text] [Related]

  • 26. Towards Extracting Supporting Information About Predicted Protein-Protein Interactions.
    Roth A, Subramanian S, Ganapathiraju MK.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Oct 11; 15(4):1239-1246. PubMed ID: 26672046
    [Abstract] [Full Text] [Related]

  • 27. BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph.
    Peng Y, Arighi C, Wu CH, Vijay-Shanker K.
    Database (Oxford); 2016 Oct 11; 2016():. PubMed ID: 27170286
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  • 28. The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text.
    Rindflesch TC, Fiszman M.
    J Biomed Inform; 2003 Dec 11; 36(6):462-77. PubMed ID: 14759819
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  • 29. Automatic identification of critical follow-up recommendation sentences in radiology reports.
    Yetisgen-Yildiz M, Gunn ML, Xia F, Payne TH.
    AMIA Annu Symp Proc; 2011 Dec 11; 2011():1593-602. PubMed ID: 22195225
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  • 30. PPICurator: A Tool for Extracting Comprehensive Protein-Protein Interaction Information.
    Li M, He Q, Ma J, He F, Zhu Y, Chang C, Chen T.
    Proteomics; 2019 Feb 11; 19(4):e1800291. PubMed ID: 30521143
    [Abstract] [Full Text] [Related]

  • 31. Using text to build semantic networks for pharmacogenomics.
    Coulet A, Shah NH, Garten Y, Musen M, Altman RB.
    J Biomed Inform; 2010 Dec 11; 43(6):1009-19. PubMed ID: 20723615
    [Abstract] [Full Text] [Related]

  • 32. Evaluating contributions of natural language parsers to protein-protein interaction extraction.
    Miyao Y, Sagae K, Saetre R, Matsuzaki T, Tsujii J.
    Bioinformatics; 2009 Feb 01; 25(3):394-400. PubMed ID: 19073593
    [Abstract] [Full Text] [Related]

  • 33. Automatic term list generation for entity tagging.
    Sandler T, Schein AI, Ungar LH.
    Bioinformatics; 2006 Mar 15; 22(6):651-7. PubMed ID: 16249261
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  • 34. Assessment of disease named entity recognition on a corpus of annotated sentences.
    Jimeno A, Jimenez-Ruiz E, Lee V, Gaudan S, Berlanga R, Rebholz-Schuhmann D.
    BMC Bioinformatics; 2008 Apr 11; 9 Suppl 3(Suppl 3):S3. PubMed ID: 18426548
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  • 35. Extracting Various Classes of Data From Biological Text Using the Concept of Existence Dependency.
    Taha K.
    IEEE J Biomed Health Inform; 2015 Nov 11; 19(6):1918-28. PubMed ID: 25616086
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  • 36. Literature mining of host-pathogen interactions: comparing feature-based supervised learning and language-based approaches.
    Thieu T, Joshi S, Warren S, Korkin D.
    Bioinformatics; 2012 Mar 15; 28(6):867-75. PubMed ID: 22285561
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  • 37. Wnt pathway curation using automated natural language processing: combining statistical methods with partial and full parse for knowledge extraction.
    Santos C, Eggle D, States DJ.
    Bioinformatics; 2005 Apr 15; 21(8):1653-8. PubMed ID: 15564295
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  • 38. Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins.
    Qi Y, Tastan O, Carbonell JG, Klein-Seetharaman J, Weston J.
    Bioinformatics; 2010 Sep 15; 26(18):i645-52. PubMed ID: 20823334
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  • 39. Exploiting graph kernels for high performance biomedical relation extraction.
    Panyam NC, Verspoor K, Cohn T, Ramamohanarao K.
    J Biomed Semantics; 2018 Jan 30; 9(1):7. PubMed ID: 29382397
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  • 40. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.
    Jiang M, Chen Y, Liu M, Rosenbloom ST, Mani S, Denny JC, Xu H.
    J Am Med Inform Assoc; 2011 Jan 30; 18(5):601-6. PubMed ID: 21508414
    [Abstract] [Full Text] [Related]


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