These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 9082140)

  • 1. Natural language processing, lexicon and semantics.
    Wehrli E; Clark R
    Methods Inf Med; 1995 Mar; 34(1-2):68-74. PubMed ID: 9082140
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The nature of lexical knowledge.
    McCray AT
    Methods Inf Med; 1998 Nov; 37(4-5):353-60. PubMed ID: 9865033
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semantic analysis of medical free texts.
    Romacker M; Hahn U; Schulz S; Klar R
    Stud Health Technol Inform; 2000; 77():438-42. PubMed ID: 11187590
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Defining and relating biomedical terms: towards a cross-language morphosemantics-based system.
    Namer F; Baud R
    Int J Med Inform; 2007; 76(2-3):226-33. PubMed ID: 16814603
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Acquiring meaning for French medical terminology: contribution of morphosemantics.
    Namer F; Zweigenbaum P
    Stud Health Technol Inform; 2004; 107(Pt 1):535-9. PubMed ID: 15360870
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The distinction between linguistic and conceptual semantics in medical terminology and its implication for NLP-based knowledge acquisition.
    Ceusters W; Buekens F; De Moor G; Waagmeester A
    Methods Inf Med; 1998 Nov; 37(4-5):327-33. PubMed ID: 9865030
    [TBL] [Abstract][Full Text] [Related]  

  • 8. From syntactic-semantic tagging to knowledge discovery in medical texts.
    Ceusters W; Spyns P; De Moor G
    Int J Med Inform; 1998; 52(1-3):149-57. PubMed ID: 9848412
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Acquisition of lexical resources from SNOMED for medical language processing.
    Zweigenbaum P; Courtois P
    Stud Health Technol Inform; 1998; 52 Pt 1():586-90. PubMed ID: 10384522
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tagging medical texts: a rule-based experiment.
    Ruch P; Bouillon P; Robert G; Baud R; Rassinoux AM
    Stud Health Technol Inform; 2000; 77():448-55. PubMed ID: 11187592
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Natural language processing and semantical representation of medical texts.
    Baud RH; Rassinoux AM; Scherrer JR
    Methods Inf Med; 1992 Jun; 31(2):117-25. PubMed ID: 1635463
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A deep learning approach to bilingual lexicon induction in the biomedical domain.
    Heyman G; Vulić I; Moens MF
    BMC Bioinformatics; 2018 Jul; 19(1):259. PubMed ID: 29986664
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Status of text-mining techniques applied to biomedical text.
    Erhardt RA; Schneider R; Blaschke C
    Drug Discov Today; 2006 Apr; 11(7-8):315-25. PubMed ID: 16580973
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Semantic features of an enterprise interface terminology for SNOMED RT.
    Campbell JR
    Stud Health Technol Inform; 2001; 84(Pt 1):82-5. PubMed ID: 11604710
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic lexeme acquisition for a multilingual medical subword thesaurus.
    Markó K; Schulz S; Hahn U
    Int J Med Inform; 2007; 76(2-3):184-9. PubMed ID: 16839808
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of brain mechanisms underlying the processing of Chinese characters and pseudo-characters: an event-related potential study.
    Wang T; Li H; Zhang Q; Tu S; Yu C; Qiu J
    Int J Psychol; 2010 Apr; 45(2):102-10. PubMed ID: 22043890
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Associating semantic grammars with the SNOMED: processing medical language and representing clinical facts into a language-independent frame.
    Do Amaral Marcio B; Satomura Y
    Medinfo; 1995; 8 Pt 1():18-22. PubMed ID: 8591149
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Enhancing knowledge representations by ontological relations.
    Denecke K
    Stud Health Technol Inform; 2008; 136():791-6. PubMed ID: 18487828
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Towards a multilingual medical lexicon.
    Marko K; Baud R; Zweigenbaum P; Borin L; Merkel M; Schulz S
    AMIA Annu Symp Proc; 2006; 2006():534-8. PubMed ID: 17238398
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Incidence Rate of Canonical vs. Derived Medical Terminology in Natural Language.
    Topac V; Jurcau DA; Stoicu-Tivadar V
    Stud Health Technol Inform; 2015; 210():5-9. PubMed ID: 25991091
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.