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 *

211 related articles for article (PubMed ID: 36931017)

  • 1. Integrating machine learning with linguistic features: A universal method for extraction and normalization of temporal expressions in Chinese texts.
    Wang S; Li R; Wu H
    Comput Methods Programs Biomed; 2023 May; 233():107474. PubMed ID: 36931017
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Temporal Expression Classification and Normalization From Chinese Narrative Clinical Texts: Pattern Learning Approach.
    Pan X; Chen B; Weng H; Gong Y; Qu Y
    JMIR Med Inform; 2020 Jul; 8(7):e17652. PubMed ID: 32716307
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Extraction of Temporal Structures for Clinical Events in Unlabeled Free-Text Electronic Health Records in Russian.
    Funkner AA; Zhurman DA; Kovalchuk SV
    Stud Health Technol Inform; 2021 Nov; 287():55-56. PubMed ID: 34795079
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparison of word embeddings for the biomedical natural language processing.
    Wang Y; Liu S; Afzal N; Rastegar-Mojarad M; Wang L; Shen F; Kingsbury P; Liu H
    J Biomed Inform; 2018 Nov; 87():12-20. PubMed ID: 30217670
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Extracting temporal information from electronic patient records.
    Li M; Patrick J
    AMIA Annu Symp Proc; 2012; 2012():542-51. PubMed ID: 23304326
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of different feature extraction methods for applicable automated ICD coding.
    Shuai Z; Xiaolin D; Jing Y; Yanni H; Meng C; Yuxin W; Wei Z
    BMC Med Inform Decis Mak; 2022 Jan; 22(1):11. PubMed ID: 35022039
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MedTime: a temporal information extraction system for clinical narratives.
    Lin YK; Chen H; Brown RA
    J Biomed Inform; 2013 Dec; 46 Suppl():S20-S28. PubMed ID: 23911344
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.
    Kovacevic A; Dehghan A; Filannino M; Keane JA; Nenadic G
    J Am Med Inform Assoc; 2013; 20(5):859-66. PubMed ID: 23605114
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records.
    Fang A; Hu J; Zhao W; Feng M; Fu J; Feng S; Lou P; Ren H; Chen X
    BMC Med Inform Decis Mak; 2022 Mar; 22(1):72. PubMed ID: 35321705
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [A customized method for information extraction from unstructured text data in the electronic medical records].
    Bao XY; Huang WJ; Zhang K; Jin M; Li Y; Niu CZ
    Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Apr; 50(2):256-263. PubMed ID: 29643524
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text.
    Roberts K; Rink B; Harabagiu SM
    J Am Med Inform Assoc; 2013; 20(5):867-75. PubMed ID: 23686936
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Ensembles of natural language processing systems for portable phenotyping solutions.
    Liu C; Ta CN; Rogers JR; Li Z; Lee J; Butler AM; Shang N; Kury FSP; Wang L; Shen F; Liu H; Ena L; Friedman C; Weng C
    J Biomed Inform; 2019 Dec; 100():103318. PubMed ID: 31655273
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.
    Cai X; Dong S; Hu J
    BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 2):65. PubMed ID: 30961622
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts.
    Hao T; Pan X; Gu Z; Qu Y; Weng H
    BMC Med Inform Decis Mak; 2018 Mar; 18(Suppl 1):22. PubMed ID: 29589563
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Constructing and validating readability models: the method of integrating multilevel linguistic features with machine learning.
    Sung YT; Chen JL; Cha JH; Tseng HC; Chang TH; Chang KE
    Behav Res Methods; 2015 Jun; 47(2):340-54. PubMed ID: 24687843
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CRIE: An automated analyzer for Chinese texts.
    Sung YT; Chang TH; Lin WC; Hsieh KS; Chang KE
    Behav Res Methods; 2016 Dec; 48(4):1238-1251. PubMed ID: 26424442
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Extraction of temporal relations from clinical free text: A systematic review of current approaches.
    Alfattni G; Peek N; Nenadic G
    J Biomed Inform; 2020 Aug; 108():103488. PubMed ID: 32673788
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain.
    Madkour M; Benhaddou D; Tao C
    Comput Methods Programs Biomed; 2016 May; 128():52-68. PubMed ID: 27040831
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Phenotyping of Chinese Electronic Health Records by Recognizing Linguistic Patterns of Phenotypic Narratives With a Sequence Motif Discovery Tool: Algorithm Development and Validation.
    Li S; Deng L; Zhang X; Chen L; Yang T; Qi Y; Jiang T
    J Med Internet Res; 2022 Jun; 24(6):e37213. PubMed ID: 35657661
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.
    Sun W; Rumshisky A; Uzuner O
    J Am Med Inform Assoc; 2013; 20(5):806-13. PubMed ID: 23564629
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.