BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 11825163)

  • 1. Evaluation of negation phrases in narrative clinical reports.
    Chapman WW; Bridewell W; Hanbury P; Cooper GF; Buchanan BG
    Proc AMIA Symp; 2001; ():105-9. PubMed ID: 11825163
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A simple algorithm for identifying negated findings and diseases in discharge summaries.
    Chapman WW; Bridewell W; Hanbury P; Cooper GF; Buchanan BG
    J Biomed Inform; 2001 Oct; 34(5):301-10. PubMed ID: 12123149
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel hybrid approach to automated negation detection in clinical radiology reports.
    Huang Y; Lowe HJ
    J Am Med Inform Assoc; 2007; 14(3):304-11. PubMed ID: 17329723
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports.
    Mitchell KJ; Becich MJ; Berman JJ; Chapman WW; Gilbertson J; Gupta D; Harrison J; Legowski E; Crowley RS
    Stud Health Technol Inform; 2004; 107(Pt 1):663-7. PubMed ID: 15360896
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS.
    Mutalik PG; Deshpande A; Nadkarni PM
    J Am Med Inform Assoc; 2001; 8(6):598-609. PubMed ID: 11687566
    [TBL] [Abstract][Full Text] [Related]  

  • 6. ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus.
    Afzal Z; Pons E; Kang N; Sturkenboom MC; Schuemie MJ; Kors JA
    BMC Bioinformatics; 2014 Nov; 15(1):373. PubMed ID: 25432799
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparing natural language processing tools to extract medical problems from narrative text.
    Meystre SM; Haug PJ
    AMIA Annu Symp Proc; 2005; 2005():525-9. PubMed ID: 16779095
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Biomedical negation scope detection with conditional random fields.
    Agarwal S; Yu H
    J Am Med Inform Assoc; 2010; 17(6):696-701. PubMed ID: 20962133
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Context-sensitive medical information retrieval.
    Auerbuch M; Karson TH; Ben-Ami B; Maimon O; Rokach L
    Stud Health Technol Inform; 2004; 107(Pt 1):282-6. PubMed ID: 15360819
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Syntactical negation detection in clinical practice guidelines.
    Gindl S; Kaiser K; Miksch S
    Stud Health Technol Inform; 2008; 136():187-92. PubMed ID: 18487729
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Adaptation of the NegEx algorithm to Veterans Affairs electronic text notes for detection of influenza-like illness (ILI).
    South BR; Phansalkar S; Swaminathan AD; Delisle S; Perl T; Samore MH
    AMIA Annu Symp Proc; 2007 Oct; ():1118. PubMed ID: 18694215
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Negation detection in Swedish clinical text: An adaption of NegEx to Swedish.
    Skeppstedt M
    J Biomed Semantics; 2011; 2 Suppl 3(Suppl 3):S3. PubMed ID: 21992616
    [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. Concept negation in free text components of vaccine safety reports.
    Tolentino H; Matters M; Walop W; Law B; Tong W; Liu F; Fontelo P; Kohl K; Payne D
    AMIA Annu Symp Proc; 2006; 2006():1122. PubMed ID: 17238741
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A fast, accurate, and generalisable heuristic-based negation detection algorithm for clinical text.
    Slater K; Bradlow W; Motti DF; Hoehndorf R; Ball S; Gkoutos GV
    Comput Biol Med; 2021 Mar; 130():104216. PubMed ID: 33484944
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.
    Gobbel GT; Reeves R; Jayaramaraja S; Giuse D; Speroff T; Brown SH; Elkin PL; Matheny ME
    J Biomed Inform; 2014 Apr; 48():54-65. PubMed ID: 24316051
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Achieving automated narrative text interpretation using phrases in the electronic medical record.
    Murphy SN; Barnett GO
    Proc AMIA Annu Fall Symp; 1996; ():532-6. PubMed ID: 8947723
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detecting negation and scope in Chinese clinical notes using character and word embedding.
    Kang T; Zhang S; Xu N; Wen D; Zhang X; Lei J
    Comput Methods Programs Biomed; 2017 Mar; 140():53-59. PubMed ID: 28254090
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying QT prolongation from ECG impressions using natural language processing and negation detection.
    Denny JC; Peterson JF
    Stud Health Technol Inform; 2007; 129(Pt 2):1283-8. PubMed ID: 17911921
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic negation detection in narrative pathology reports.
    Ou Y; Patrick J
    Artif Intell Med; 2015 May; 64(1):41-50. PubMed ID: 25990897
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.