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 *

123 related articles for article (PubMed ID: 28539124)

  • 1. Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature.
    Lee DG; Shin H
    BMC Med Inform Decis Mak; 2017 May; 17(Suppl 1):53. PubMed ID: 28539124
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Extracting causal relations from the literature with word vector mapping.
    An N; Xiao Y; Yuan J; Yang J; Alterovitz G
    Comput Biol Med; 2019 Dec; 115():103524. PubMed ID: 31698234
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Exploiting syntactic and semantics information for chemical-disease relation extraction.
    Zhou H; Deng H; Chen L; Yang Y; Jia C; Huang D
    Database (Oxford); 2016; 2016():. PubMed ID: 27081156
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Causality modeling for directed disease network.
    Bang S; Kim JH; Shin H
    Bioinformatics; 2016 Sep; 32(17):i437-i444. PubMed ID: 27587660
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An effective neural model extracting document level chemical-induced disease relations from biomedical literature.
    Zheng W; Lin H; Li Z; Liu X; Li Z; Xu B; Zhang Y; Yang Z; Wang J
    J Biomed Inform; 2018 Jul; 83():1-9. PubMed ID: 29746916
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.
    Jiang Z; Li L; Huang D
    IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(4):634-42. PubMed ID: 26390497
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis.
    Fang S; Xie H; Chen Z; Liu Y; Li Y
    Neuroinformatics; 2018 Oct; 16(3-4):445-455. PubMed ID: 29350328
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detecting causality from online psychiatric texts using inter-sentential language patterns.
    Wu JL; Yu LC; Chang PC
    BMC Med Inform Decis Mak; 2012 Jul; 12():72. PubMed ID: 22809317
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Knowledge based word-concept model estimation and refinement for biomedical text mining.
    Jimeno Yepes A; Berlanga R
    J Biomed Inform; 2015 Feb; 53():300-7. PubMed ID: 25510606
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Analysis of biological processes and diseases using text mining approaches.
    Krallinger M; Leitner F; Valencia A
    Methods Mol Biol; 2010; 593():341-82. PubMed ID: 19957157
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A practical approach towards causality mining in clinical text using active transfer learning.
    Hussain M; Satti FA; Hussain J; Ali T; Ali SI; Bilal HSM; Park GH; Lee S; Chung T
    J Biomed Inform; 2021 Nov; 123():103932. PubMed ID: 34628064
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comorbidity Scoring with Causal Disease Networks.
    Jhee JH; Bang S; Lee DG; Shin H
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(5):1627-1634. PubMed ID: 29993606
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Translating ICD-11 into French using lexical-based approach: a preliminary study.
    Merabti T; Grosjean J; Rodrigues JM; Darmoni SJ
    Stud Health Technol Inform; 2015; 216():1036. PubMed ID: 26262335
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Extracting Various Classes of Data From Biological Text Using the Concept of Existence Dependency.
    Taha K
    IEEE J Biomed Health Inform; 2015 Nov; 19(6):1918-28. PubMed ID: 25616086
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discovering causal paths to diabetic nephropathy by combining computable biomedical knowledge with graph mining algorithms.
    Wang S; Wang HY; Du J
    AMIA Annu Symp Proc; 2022; 2022():1118-1124. PubMed ID: 37128414
    [No Abstract]   [Full Text] [Related]  

  • 16. Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends.
    Jurca G; Addam O; Aksac A; Gao S; Özyer T; Demetrick D; Alhajj R
    BMC Res Notes; 2016 Apr; 9():236. PubMed ID: 27112211
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An ontology-based similarity measure for biomedical data-application to radiology reports.
    Mabotuwana T; Lee MC; Cohen-Solal EV
    J Biomed Inform; 2013 Oct; 46(5):857-68. PubMed ID: 23850839
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and application of an interaction network ontology for literature mining of vaccine-associated gene-gene interactions.
    Hur J; Özgür A; Xiang Z; He Y
    J Biomed Semantics; 2015; 6():2. PubMed ID: 25785184
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A categorical analysis of coreference resolution errors in biomedical texts.
    Choi M; Zobel J; Verspoor K
    J Biomed Inform; 2016 Apr; 60():309-18. PubMed ID: 26925515
    [TBL] [Abstract][Full Text] [Related]  

  • 20. LGscore: A method to identify disease-related genes using biological literature and Google data.
    Kim J; Kim H; Yoon Y; Park S
    J Biomed Inform; 2015 Apr; 54():270-82. PubMed ID: 25617670
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.