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 *

157 related articles for article (PubMed ID: 38411689)

  • 1. Leveraging Large Language Models for Clinical Abbreviation Disambiguation.
    Hosseini M; Hosseini M; Javidan R
    J Med Syst; 2024 Feb; 48(1):27. PubMed ID: 38411689
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improving clinical abbreviation sense disambiguation using attention-based Bi-LSTM and hybrid balancing techniques in imbalanced datasets.
    Hosseini M; Rasekh AH; Keshavarzi A
    J Eval Clin Pract; 2024 Oct; 30(7):1327-1336. PubMed ID: 39031903
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A convolutional route to abbreviation disambiguation in clinical text.
    Joopudi V; Dandala B; Devarakonda M
    J Biomed Inform; 2018 Oct; 86():71-78. PubMed ID: 30118854
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Disambiguating Clinical Abbreviations Using a One-Fits-All Classifier Based on Deep Learning Techniques.
    Jaber A; Martínez P
    Methods Inf Med; 2022 Jun; 61(S 01):e28-e34. PubMed ID: 35104909
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time.
    Wu Y; Denny JC; Rosenbloom ST; Miller RA; Giuse DA; Song M; Xu H
    Appl Clin Inform; 2015; 6(2):364-74. PubMed ID: 26171081
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Link-topic model for biomedical abbreviation disambiguation.
    Kim S; Yoon J
    J Biomed Inform; 2015 Feb; 53():367-80. PubMed ID: 25554684
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sequence Labeling for Disambiguating Medical Abbreviations.
    Cevik M; Mohammad Jafari S; Myers M; Yildirim S
    J Healthc Inform Res; 2023 Dec; 7(4):501-526. PubMed ID: 37927372
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues.
    Xu H; Markatou M; Dimova R; Liu H; Friedman C
    BMC Bioinformatics; 2006 Jul; 7():334. PubMed ID: 16822321
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Building a high-quality sense inventory for improved abbreviation disambiguation.
    Okazaki N; Ananiadou S; Tsujii J
    Bioinformatics; 2010 May; 26(9):1246-53. PubMed ID: 20360059
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study.
    Lee YQ; Chen CT; Chen CC; Lee CH; Chen P; Wu CS; Dai HJ
    J Med Internet Res; 2024 Jan; 26():e48443. PubMed ID: 38271060
    [TBL] [Abstract][Full Text] [Related]  

  • 11. BioGPT: generative pre-trained transformer for biomedical text generation and mining.
    Luo R; Sun L; Xia Y; Qin T; Zhang S; Poon H; Liu TY
    Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36156661
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Word Sense Disambiguation of clinical abbreviations with hyperdimensional computing.
    Moon S; Berster BT; Xu H; Cohen T
    AMIA Annu Symp Proc; 2013; 2013():1007-16. PubMed ID: 24551390
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Biomedical word sense disambiguation with ontologies and metadata: automation meets accuracy.
    Alexopoulou D; Andreopoulos B; Dietze H; Doms A; Gandon F; Hakenberg J; Khelif K; Schroeder M; Wächter T
    BMC Bioinformatics; 2009 Jan; 10():28. PubMed ID: 19159460
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Disambiguation of acronyms in clinical narratives with large language models.
    Kugic A; Schulz S; Kreuzthaler M
    J Am Med Inform Assoc; 2024 Sep; 31(9):2040-2046. PubMed ID: 38917444
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data.
    Finley GP; Pakhomov SV; McEwan R; Melton GB
    AMIA Annu Symp Proc; 2016; 2016():560-569. PubMed ID: 28269852
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of the transformer model algorithm in chinese word sense disambiguation: a case study in chinese language.
    Li L; Li J; Wang H; Nie J
    Sci Rep; 2024 Mar; 14(1):6320. PubMed ID: 38491085
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Abbreviation and acronym disambiguation in clinical discourse.
    Pakhomov S; Pedersen T; Chute CG
    AMIA Annu Symp Proc; 2005; 2005():589-93. PubMed ID: 16779108
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatically disambiguating medical acronyms with ontology-aware deep learning.
    Skreta M; Arbabi A; Wang J; Drysdale E; Kelly J; Singh D; Brudno M
    Nat Commun; 2021 Sep; 12(1):5319. PubMed ID: 34493718
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A learning-based approach for biomedical word sense disambiguation.
    Al-Mubaid H; Gungu S
    ScientificWorldJournal; 2012; 2012():949247. PubMed ID: 22666174
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.