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 *

196 related articles for article (PubMed ID: 24431333)

  • 1. Automatic lymphoma classification with sentence subgraph mining from pathology reports.
    Luo Y; Sohani AR; Hochberg EP; Szolovits P
    J Am Med Inform Assoc; 2014; 21(5):824-32. PubMed ID: 24431333
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.
    Luo Y; Xin Y; Hochberg E; Joshi R; Uzuner O; Szolovits P
    J Am Med Inform Assoc; 2015 Sep; 22(5):1009-19. PubMed ID: 25862765
    [TBL] [Abstract][Full Text] [Related]  

  • 3. BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network.
    Zheng X; Wang X; Luo X; Tong F; Zhao D
    BMC Bioinformatics; 2023 Dec; 24(1):486. PubMed ID: 38114906
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Context-driven automatic subgraph creation for literature-based discovery.
    Cameron D; Kavuluru R; Rindflesch TC; Sheth AP; Thirunarayan K; Bodenreider O
    J Biomed Inform; 2015 Apr; 54():141-57. PubMed ID: 25661592
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of "off-the-shelf" information extraction algorithms in clinical informatics: A feasibility study of MetaMap annotation of Italian medical notes.
    Chiaramello E; Pinciroli F; Bonalumi A; Caroli A; Tognola G
    J Biomed Inform; 2016 Oct; 63():22-32. PubMed ID: 27444186
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Exploiting graph kernels for high performance biomedical relation extraction.
    Panyam NC; Verspoor K; Cohn T; Ramamohanarao K
    J Biomed Semantics; 2018 Jan; 9(1):7. PubMed ID: 29382397
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of Adaptive Neural Network Algorithm Model in English Text Analysis.
    Hung M; Hsiao M
    Comput Intell Neurosci; 2022; 2022():4866531. PubMed ID: 35665290
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated Classification of Selected Data Elements from Free-text Diagnostic Reports for Clinical Research.
    Löpprich M; Krauss F; Ganzinger M; Senghas K; Riezler S; Knaup P
    Methods Inf Med; 2016 Aug; 55(4):373-80. PubMed ID: 27406024
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Portable automatic text classification for adverse drug reaction detection via multi-corpus training.
    Sarker A; Gonzalez G
    J Biomed Inform; 2015 Feb; 53():196-207. PubMed ID: 25451103
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications.
    Zolnoori M; Fung KW; Patrick TB; Fontelo P; Kharrazi H; Faiola A; Wu YSS; Eldredge CE; Luo J; Conway M; Zhu J; Park SK; Xu K; Moayyed H; Goudarzvand S
    J Biomed Inform; 2019 Feb; 90():103091. PubMed ID: 30611893
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Knowledge-based biomedical word sense disambiguation: an evaluation and application to clinical document classification.
    Garla VN; Brandt C
    J Am Med Inform Assoc; 2013; 20(5):882-6. PubMed ID: 23077130
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Graph-based biomedical text summarization: An itemset mining and sentence clustering approach.
    Nasr Azadani M; Ghadiri N; Davoodijam E
    J Biomed Inform; 2018 Aug; 84():42-58. PubMed ID: 29906584
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.
    Aronson AR
    Proc AMIA Symp; 2001; ():17-21. PubMed ID: 11825149
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unsupervised inference of implicit biomedical events using context triggers.
    Chung JW; Yang W; Park JC
    BMC Bioinformatics; 2020 Jan; 21(1):29. PubMed ID: 31992184
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discriminative Feature Selection for Uncertain Graph Classification.
    Kong X; Yu PS; Wang X; Ragin AB
    Proc SIAM Int Conf Data Min; 2013; 2013():82-93. PubMed ID: 25949925
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations.
    Bakal G; Talari P; Kakani EV; Kavuluru R
    J Biomed Inform; 2018 Jun; 82():189-199. PubMed ID: 29763706
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessment of disease named entity recognition on a corpus of annotated sentences.
    Jimeno A; Jimenez-Ruiz E; Lee V; Gaudan S; Berlanga R; Rebholz-Schuhmann D
    BMC Bioinformatics; 2008 Apr; 9 Suppl 3(Suppl 3):S3. PubMed ID: 18426548
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning.
    Osborne JD; Wyatt M; Westfall AO; Willig J; Bethard S; Gordon G
    J Am Med Inform Assoc; 2016 Nov; 23(6):1077-1084. PubMed ID: 27026618
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource.
    Alnazzawi N; Thompson P; Ananiadou S
    PLoS One; 2016; 11(9):e0162287. PubMed ID: 27643689
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.
    Xu Y; Hong K; Tsujii J; Chang EI
    J Am Med Inform Assoc; 2012; 19(5):824-32. PubMed ID: 22586067
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.