BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

731 related articles for article (PubMed ID: 31627150)

  • 1. Deep contextualized embeddings for quantifying the informative content in biomedical text summarization.
    Moradi M; Dorffner G; Samwald M
    Comput Methods Programs Biomed; 2020 Feb; 184():105117. PubMed ID: 31627150
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Summarization of biomedical articles using domain-specific word embeddings and graph ranking.
    Moradi M; Dashti M; Samwald M
    J Biomed Inform; 2020 Jul; 107():103452. PubMed ID: 32439479
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. CIBS: A biomedical text summarizer using topic-based sentence clustering.
    Moradi M
    J Biomed Inform; 2018 Dec; 88():53-61. PubMed ID: 30445218
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantifying the informativeness for biomedical literature summarization: An itemset mining method.
    Moradi M; Ghadiri N
    Comput Methods Programs Biomed; 2017 Jul; 146():77-89. PubMed ID: 28688492
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Different approaches for identifying important concepts in probabilistic biomedical text summarization.
    Moradi M; Ghadiri N
    Artif Intell Med; 2018 Jan; 84():101-116. PubMed ID: 29208328
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Discovering Thematically Coherent Biomedical Documents Using Contextualized Bidirectional Encoder Representations from Transformers-Based Clustering.
    Davagdorj K; Wang L; Li M; Pham VH; Ryu KH; Theera-Umpon N
    Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627429
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Clinical Context-Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation.
    Afzal M; Alam F; Malik KM; Malik GM
    J Med Internet Res; 2020 Oct; 22(10):e19810. PubMed ID: 33095174
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Extracting comprehensive clinical information for breast cancer using deep learning methods.
    Zhang X; Zhang Y; Zhang Q; Ren Y; Qiu T; Ma J; Sun Q
    Int J Med Inform; 2019 Dec; 132():103985. PubMed ID: 31627032
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. BERT-based Ranking for Biomedical Entity Normalization.
    Ji Z; Wei Q; Xu H
    AMIA Jt Summits Transl Sci Proc; 2020; 2020():269-277. PubMed ID: 32477646
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT.
    Wada S; Takeda T; Okada K; Manabe S; Konishi S; Kamohara J; Matsumura Y
    Artif Intell Med; 2024 Jul; 153():102889. PubMed ID: 38728811
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MultiGBS: A multi-layer graph approach to biomedical summarization.
    Davoodijam E; Ghadiri N; Lotfi Shahreza M; Rinaldi F
    J Biomed Inform; 2021 Apr; 116():103706. PubMed ID: 33610879
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Biomedical semantic text summarizer.
    Kirmani M; Kour G; Mohd M; Sheikh N; Khan DA; Maqbool Z; Wani MA; Wani AH
    BMC Bioinformatics; 2024 Apr; 25(1):152. PubMed ID: 38627652
    [TBL] [Abstract][Full Text] [Related]  

  • 15. deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.
    Pesaranghader A; Matwin S; Sokolova M; Pesaranghader A
    J Am Med Inform Assoc; 2019 May; 26(5):438-446. PubMed ID: 30811548
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning.
    Mahajan D; Poddar A; Liang JJ; Lin YT; Prager JM; Suryanarayanan P; Raghavan P; Tsou CH
    JMIR Med Inform; 2020 Nov; 8(11):e22508. PubMed ID: 33245284
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records.
    Chen Q; Du J; Kim S; Wilbur WJ; Lu Z
    BMC Med Inform Decis Mak; 2020 Apr; 20(Suppl 1):73. PubMed ID: 32349758
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text.
    Lee EK; Uppal K
    BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 14):306. PubMed ID: 33323109
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study.
    Rivera Zavala R; Martinez P
    JMIR Med Inform; 2020 Dec; 8(12):e18953. PubMed ID: 33270027
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 37.