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 *

1245 related articles for article (PubMed ID: 12463923)

  • 1. The sublanguage of cross-coverage.
    Stetson PD; Johnson SB; Scotch M; Hripcsak G
    Proc AMIA Symp; 2002; ():742-6. PubMed ID: 12463923
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.
    Barrows Jr RC; Busuioc M; Friedman C
    Proc AMIA Symp; 2000; ():51-5. PubMed ID: 11079843
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.
    Topaz M; Lai K; Dowding D; Lei VJ; Zisberg A; Bowles KH; Zhou L
    Int J Nurs Stud; 2016 Dec; 64():25-31. PubMed ID: 27668855
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Applying natural language processing toolkits to electronic health records - an experience report.
    Barrett N; Weber-Jahnke JH
    Stud Health Technol Inform; 2009; 143():441-6. PubMed ID: 19380974
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Part-of-speech tagging for clinical text: wall or bridge between institutions?
    Fan JW; Prasad R; Yabut RM; Loomis RM; Zisook DS; Mattison JE; Huang Y
    AMIA Annu Symp Proc; 2011; 2011():382-91. PubMed ID: 22195091
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Natural language processing challenges in HIV/AIDS clinic notes.
    Hyun S; Bakken S; Friedman C; Johnson SB
    AMIA Annu Symp Proc; 2003; 2003():872. PubMed ID: 14728377
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated classification of encounter notes in a computer based medical record.
    Aronow DB; Soderland S; Ponte JM; Feng F; Croft WB; Lehnert WG
    Medinfo; 1995; 8 Pt 1():8-12. PubMed ID: 8591332
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Parsing clinical text: how good are the state-of-the-art parsers?
    Jiang M; Huang Y; Fan JW; Tang B; Denny J; Xu H
    BMC Med Inform Decis Mak; 2015; 15 Suppl 1(Suppl 1):S2. PubMed ID: 26045009
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD).
    Wu Y; Denny JC; Trent Rosenbloom S; Miller RA; Giuse DA; Wang L; Blanquicett C; Soysal E; Xu J; Xu H
    J Am Med Inform Assoc; 2017 Apr; 24(e1):e79-e86. PubMed ID: 27539197
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Voice-dictated versus typed-in clinician notes: linguistic properties and the potential implications on natural language processing.
    Zheng K; Mei Q; Yang L; Manion FJ; Balis UJ; Hanauer DA
    AMIA Annu Symp Proc; 2011; 2011():1630-8. PubMed ID: 22195229
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparing general and medical texts for information retrieval based on natural language processing: an inquiry into lexical disambiguation.
    Ruch P; Baud R; Geissbühler A; Rassinoux AM
    Stud Health Technol Inform; 2001; 84(Pt 1):261-5. PubMed ID: 11604745
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detecting possible vaccine adverse events in clinical notes of the electronic medical record.
    Hazlehurst B; Naleway A; Mullooly J
    Vaccine; 2009 Mar; 27(14):2077-83. PubMed ID: 19428833
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A controlled trial of automated classification of negation from clinical notes.
    Elkin PL; Brown SH; Bauer BA; Husser CS; Carruth W; Bergstrom LR; Wahner-Roedler DL
    BMC Med Inform Decis Mak; 2005 May; 5():13. PubMed ID: 15876352
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?
    Morrison FP; Li L; Lai AM; Hripcsak G
    J Am Med Inform Assoc; 2009; 16(1):37-9. PubMed ID: 18952938
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing syntactic complexity in medical and non-medical corpora.
    Campbell DA; Johnson SB
    Proc AMIA Symp; 2001; ():90-4. PubMed ID: 11825160
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Towards automated processing of clinical Finnish: sublanguage analysis and a rule-based parser.
    Laippala V; Ginter F; Pyysalo S; Salakoski T
    Int J Med Inform; 2009 Dec; 78(12):e7-12. PubMed ID: 19299195
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CliniViewer: a tool for viewing electronic medical records based on natural language processing and XML.
    Liu H; Friedman C
    Stud Health Technol Inform; 2004; 107(Pt 1):639-43. PubMed ID: 15360891
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Transforming clinical dictation into structured notes in an ambulatory care practice.
    Ollendieck M; Chueh H
    Stud Health Technol Inform; 2004; 107(Pt 1):668-72. PubMed ID: 15360897
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparative evaluation of accuracy of extraction of medication information from narrative physician notes by commercial and academic natural language processing software packages.
    Turchin A; Morin L; Semere LG; Kashyap V; Palchuk MB; Shubina M; Chang F; Li Q
    AMIA Annu Symp Proc; 2006; ():789-93. PubMed ID: 17238449
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Contextual Variation of Clinical Notes induced by EHR Migration.
    Miller K; Moon S; Fu S; Liu H
    AMIA Annu Symp Proc; 2023; 2023():1155-1164. PubMed ID: 38222426
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 63.