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 *

132 related articles for article (PubMed ID: 29295113)

  • 1. Translational Morphosyntax: Distribution of Negation in Clinical Records and Biomedical Journal Articles.
    Cohen KB; Goss FR; Zweigenbaum P; Hunter LE
    Stud Health Technol Inform; 2017; 245():346-350. PubMed ID: 29295113
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Negation Detection for Clinical Text Mining in Russian.
    Funkner A; Balabaeva K; Kovalchuk S
    Stud Health Technol Inform; 2020 Jun; 270():342-346. PubMed ID: 32570403
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. BioBERT: a pre-trained biomedical language representation model for biomedical text mining.
    Lee J; Yoon W; Kim S; Kim D; Kim S; So CH; Kang J
    Bioinformatics; 2020 Feb; 36(4):1234-1240. PubMed ID: 31501885
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. The textual characteristics of traditional and Open Access scientific journals are similar.
    Verspoor K; Cohen KB; Hunter L
    BMC Bioinformatics; 2009 Jun; 10():183. PubMed ID: 19527520
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated Spelling Correction for Clinical Text Mining in Russian.
    Balabaeva K; Funkner A; Kovalchuk S
    Stud Health Technol Inform; 2020 Jun; 270():43-47. PubMed ID: 32570343
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Recognizing Questions and Answers in EMR Templates Using Natural Language Processing.
    Divita G; Shen S; Carter ME; Redd A; Forbush T; Palmer M; Samore MH; Gundlapalli AV
    Stud Health Technol Inform; 2014; 202():149-52. PubMed ID: 25000038
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. The Processing of Negation and Polarity: An Overview.
    Dudschig C; Kaup B; Liu M; Schwab J
    J Psycholinguist Res; 2021 Dec; 50(6):1199-1213. PubMed ID: 34787786
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse.
    Garcelon N; Neuraz A; Salomon R; Faour H; Benoit V; Delapalme A; Munnich A; Burgun A; Rance B
    J Biomed Inform; 2018 Apr; 80():52-63. PubMed ID: 29501921
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nobody Doesn't Like Negative Concord.
    Maldonado M; Culbertson J
    J Psycholinguist Res; 2021 Dec; 50(6):1401-1416. PubMed ID: 34767087
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhancing Extraction of Drug-Drug Interaction from Literature Using Neutral Candidates, Negation, and Clause Dependency.
    Bokharaeian B; Diaz A; Chitsaz H
    PLoS One; 2016; 11(10):e0163480. PubMed ID: 27695078
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Incorporating linguistic knowledge for learning distributed word representations.
    Wang Y; Liu Z; Sun M
    PLoS One; 2015; 10(4):e0118437. PubMed ID: 25874581
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions.
    Oronoz M; Gojenola K; Pérez A; de Ilarraza AD; Casillas A
    J Biomed Inform; 2015 Aug; 56():318-32. PubMed ID: 26141794
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SEMCARE: Multilingual Semantic Search in Semi-Structured Clinical Data.
    López-García P; Kreuzthaler M; Schulz S; Scherr D; Daumke P; Markó K; Kors JA; van Mulligen EM; Wang X; Gonna H; Behr E; Honrado Á
    Stud Health Technol Inform; 2016; 223():93-9. PubMed ID: 27139390
    [TBL] [Abstract][Full Text] [Related]  

  • 18. French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes.
    Mirzapour M; Abdaoui A; Tchechmedjiev A; Digan W; Bringay S; Jonquet C
    J Biomed Inform; 2021 May; 117():103733. PubMed ID: 33737205
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A reappraisal of sentence and token splitting for life sciences documents.
    Tomanek K; Wermter J; Hahn U
    Stud Health Technol Inform; 2007; 129(Pt 1):524-8. PubMed ID: 17911772
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.