BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

172 related articles for article (PubMed ID: 21575741)

  • 1. Degree centrality for semantic abstraction summarization of therapeutic studies.
    Zhang H; Fiszman M; Shin D; Miller CM; Rosemblat G; Rindflesch TC
    J Biomed Inform; 2011 Oct; 44(5):830-8. PubMed ID: 21575741
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Text summarization as a decision support aid.
    Workman TE; Fiszman M; Hurdle JF
    BMC Med Inform Decis Mak; 2012 May; 12():41. PubMed ID: 22621674
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 98(4):273-81. PubMed ID: 20936065
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dynamic summarization of bibliographic-based data.
    Workman TE; Hurdle JF
    BMC Med Inform Decis Mak; 2011 Feb; 11():6. PubMed ID: 21284871
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic summarization of MEDLINE citations for evidence-based medical treatment: a topic-oriented evaluation.
    Fiszman M; Demner-Fushman D; Kilicoglu H; Rindflesch TC
    J Biomed Inform; 2009 Oct; 42(5):801-13. PubMed ID: 19022398
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluation method.
    Yoo I; Hu X; Song IY
    BMC Bioinformatics; 2007 Nov; 8 Suppl 9(Suppl 9):S4. PubMed ID: 18047705
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of clinically useful sentences in clinical evidence resources.
    Morid MA; Fiszman M; Raja K; Jonnalagadda SR; Del Fiol G
    J Biomed Inform; 2016 Apr; 60():14-22. PubMed ID: 26774763
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparing different knowledge sources for the automatic summarization of biomedical literature.
    Plaza L
    J Biomed Inform; 2014 Dec; 52():319-28. PubMed ID: 25066773
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 36(6):462-77. PubMed ID: 14759819
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Enhancing biomedical text summarization using semantic relation extraction.
    Shang Y; Li Y; Lin H; Yang Z
    PLoS One; 2011; 6(8):e23862. PubMed ID: 21887336
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semantic processing to enhance retrieval of diagnosis citations from Medline.
    Sneiderman C; Demner-Fushman D; Fiszman M; Rosemblat G; Lang FM; Norwood D; Rindflesch TC
    AMIA Annu Symp Proc; 2006; 2006():1104. PubMed ID: 17238723
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Clustering cliques for graph-based summarization of the biomedical research literature.
    Zhang H; Fiszman M; Shin D; Wilkowski B; Rindflesch TC
    BMC Bioinformatics; 2013 Jun; 14():182. PubMed ID: 23742159
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Graph-based methods for discovery browsing with semantic predications.
    Wilkowski B; Fiszman M; Miller CM; Hristovski D; Arabandi S; Rosemblat G; Rindflesch TC
    AMIA Annu Symp Proc; 2011; 2011():1514-23. PubMed ID: 22195216
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Extracting semantic predications from Medline citations for pharmacogenomics.
    Ahlers CB; Fiszman M; Demner-Fushman D; Lang FM; Rindflesch TC
    Pac Symp Biocomput; 2007; ():209-20. PubMed ID: 17990493
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated identification of molecular effects of drugs (AIMED).
    Fathiamini S; Johnson AM; Zeng J; Araya A; Holla V; Bailey AM; Litzenburger BC; Sanchez NS; Khotskaya Y; Xu H; Meric-Bernstam F; Bernstam EV; Cohen T
    J Am Med Inform Assoc; 2016 Jul; 23(4):758-65. PubMed ID: 27107438
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A semantic graph-based approach to biomedical summarisation.
    Plaza L; Díaz A; Gervás P
    Artif Intell Med; 2011 Sep; 53(1):1-14. PubMed ID: 21752612
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Text categorization of biomedical data sets using graph kernels and a controlled vocabulary.
    Bleik S; Mishra M; Huan J; Song M
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(5):1211-7. PubMed ID: 24384709
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using semantic predications to characterize the clinical cardiovascular literature.
    Bray BE; Fiszman M; Shin D; Rindflesch TC
    AMIA Annu Symp Proc; 2008 Nov; ():887. PubMed ID: 18999227
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Semantic reclassification of the UMLS concepts.
    Fan JW; Friedman C
    Bioinformatics; 2008 Sep; 24(17):1971-3. PubMed ID: 18625612
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Broad-coverage biomedical relation extraction with SemRep.
    Kilicoglu H; Rosemblat G; Fiszman M; Shin D
    BMC Bioinformatics; 2020 May; 21(1):188. PubMed ID: 32410573
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.