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Connection

Hong Yu to Information Storage and Retrieval

This is a "connection" page, showing publications Hong Yu has written about Information Storage and Retrieval.
Connection Strength

3.490
  1. Liu F, Antieau LD, Yu H. Toward automated consumer question answering: automatically separating consumer questions from professional questions in the healthcare domain. J Biomed Inform. 2011 Dec; 44(6):1032-8.
    View in: PubMed
    Score: 0.364
  2. Kim D, Yu H. Figure text extraction in biomedical literature. PLoS One. 2011 Jan 13; 6(1):e15338.
    View in: PubMed
    Score: 0.350
  3. Li Z, Liu F, Antieau L, Cao Y, Yu H. Lancet: a high precision medication event extraction system for clinical text. J Am Med Inform Assoc. 2010 Sep-Oct; 17(5):563-7.
    View in: PubMed
    Score: 0.341
  4. Cao YG, Cimino JJ, Ely J, Yu H. Automatically extracting information needs from complex clinical questions. J Biomed Inform. 2010 Dec; 43(6):962-71.
    View in: PubMed
    Score: 0.339
  5. Kim D, Yu H. Hierarchical image classification in the bioscience literature. AMIA Annu Symp Proc. 2009 Nov 14; 2009:327-31.
    View in: PubMed
    Score: 0.323
  6. Agarwal S, Yu H. Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion. Bioinformatics. 2009 Dec 01; 25(23):3174-80.
    View in: PubMed
    Score: 0.320
  7. Yu H, Kim W, Hatzivassiloglou V, Wilbur WJ. Using MEDLINE as a knowledge source for disambiguating abbreviations and acronyms in full-text biomedical journal articles. J Biomed Inform. 2007 Apr; 40(2):150-9.
    View in: PubMed
    Score: 0.255
  8. Lee M, Cimino J, Zhu HR, Sable C, Shanker V, Ely J, Yu H. Beyond information retrieval--medical question answering. AMIA Annu Symp Proc. 2006; 469-73.
    View in: PubMed
    Score: 0.247
  9. Yu H. Towards answering biological questions with experimental evidence: automatically identifying text that summarize image content in full-text articles. AMIA Annu Symp Proc. 2006; 834-8.
    View in: PubMed
    Score: 0.247
  10. Yu H, Hatzivassiloglou V, Friedman C, Rzhetsky A, Wilbur WJ. Automatic extraction of gene and protein synonyms from MEDLINE and journal articles. Proc AMIA Symp. 2002; 919-23.
    View in: PubMed
    Score: 0.187
  11. Miller T, Ravvaz K, Cimino JJ, Yu H. An investigation into the feasibility of spoken clinical question answering. AMIA Annu Symp Proc. 2011; 2011:954-9.
    View in: PubMed
    Score: 0.092
  12. Cao Y, Liu F, Simpson P, Antieau L, Bennett A, Cimino JJ, Ely J, Yu H. AskHERMES: An online question answering system for complex clinical questions. J Biomed Inform. 2011 Apr; 44(2):277-88.
    View in: PubMed
    Score: 0.088
  13. Cao Y, Li Z, Liu F, Agarwal S, Zhang Q, Yu H. An IR-aided machine learning framework for the BioCreative II.5 Challenge. IEEE/ACM Trans Comput Biol Bioinform. 2010 Jul-Sep; 7(3):454-61.
    View in: PubMed
    Score: 0.084
  14. Yu H, Lee M, Kaufman D, Ely J, Osheroff JA, Hripcsak G, Cimino J. Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians. J Biomed Inform. 2007 Jun; 40(3):236-51.
    View in: PubMed
    Score: 0.067
  15. Yu H, Lee M. Accessing bioscience images from abstract sentences. Bioinformatics. 2006 Jul 15; 22(14):e547-56.
    View in: PubMed
    Score: 0.064
  16. Rzhetsky A, Iossifov I, Koike T, Krauthammer M, Kra P, Morris M, Yu H, Dubou? PA, Weng W, Wilbur WJ, Hatzivassiloglou V, Friedman C. GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data. J Biomed Inform. 2004 Feb; 37(1):43-53.
    View in: PubMed
    Score: 0.054
  17. Yu H, Agichtein E. Extracting synonymous gene and protein terms from biological literature. Bioinformatics. 2003; 19 Suppl 1:i340-9.
    View in: PubMed
    Score: 0.050
  18. Tulipano PK, Tao Y, Millar WS, Zanzonico P, Kolbert K, Xu H, Yu H, Chen L, Lussier YA, Friedman C. Natural language processing and visualization in the molecular imaging domain. J Biomed Inform. 2007 Jun; 40(3):270-81.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.