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 *

189 related articles for article (PubMed ID: 35761319)

  • 1. A hybrid method based on semi-supervised learning for relation extraction in Chinese EMRs.
    Yang C; Xiao D; Luo Y; Li B; Zhao X; Zhang H
    BMC Med Inform Decis Mak; 2022 Jun; 22(1):169. PubMed ID: 35761319
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Attention-based deep residual learning network for entity relation extraction in Chinese EMRs.
    Zhang Z; Zhou T; Zhang Y; Pang Y
    BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 2):55. PubMed ID: 30961580
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Chinese Clinical Named Entity Recognition From Electronic Medical Records Based on Multisemantic Features by Using Robustly Optimized Bidirectional Encoder Representation From Transformers Pretraining Approach Whole Word Masking and Convolutional Neural Networks: Model Development and Validation.
    Wang W; Li X; Ren H; Gao D; Fang A
    JMIR Med Inform; 2023 May; 11():e44597. PubMed ID: 37163343
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records.
    Li L; Zhao J; Hou L; Zhai Y; Shi J; Cui F
    BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 5):235. PubMed ID: 31801540
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks.
    Li X; Wang H; He H; Du J; Chen J; Wu J
    BMC Bioinformatics; 2019 Feb; 20(1):62. PubMed ID: 30709336
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation.
    Zhang Z; Zhu L; Yu P
    JMIR Med Inform; 2020 May; 8(5):e17637. PubMed ID: 32364514
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Automatic knowledge extraction from Chinese electronic medical records and rheumatoid arthritis knowledge graph construction.
    Liu F; Liu M; Li M; Xin Y; Gao D; Wu J; Zhu J
    Quant Imaging Med Surg; 2023 Jun; 13(6):3873-3890. PubMed ID: 37284084
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Chinese medical entity recognition based on the dual-branch TENER model.
    Peng H; Zhang Z; Liu D; Qin X
    BMC Med Inform Decis Mak; 2023 Jul; 23(1):136. PubMed ID: 37488521
    [TBL] [Abstract][Full Text] [Related]  

  • 10. BertSRC: transformer-based semantic relation classification.
    Lee Y; Son J; Song M
    BMC Med Inform Decis Mak; 2022 Sep; 22(1):234. PubMed ID: 36068535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A BIGRU-Based Stacked Attention Network for Biomedical Named Entity Recognition with Chinese EMRs.
    Chen JQ; Zhu ZC; Zhang F; Zeng K; Jiang HZ; Cheng ZN
    Stud Health Technol Inform; 2023 Nov; 308():757-767. PubMed ID: 38007808
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Medical assertion classification in Chinese EMRs using attention enhanced neural network.
    Zhang ZC; Zhang Y; Zhou T; Pang YL
    Math Biosci Eng; 2019 Mar; 16(4):1966-1977. PubMed ID: 31137195
    [TBL] [Abstract][Full Text] [Related]  

  • 13. BAMRE: Joint extraction model of Chinese medical entities and relations based on Biaffine transformation with relation attention.
    Sun J; Zhang C; Xing L; Zhang L; Cai H; Guo M
    J Biomed Inform; 2024 Oct; 158():104733. PubMed ID: 39368528
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts.
    Ye Q; Cai T; Ji X; Ruan T; Zheng H
    BMC Med Inform Decis Mak; 2023 Feb; 23(1):34. PubMed ID: 36788504
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [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]  

  • 18. Data-Driven Information Extraction from Chinese Electronic Medical Records.
    Xu D; Zhang M; Zhao T; Ge C; Gao W; Wei J; Zhu KQ
    PLoS One; 2015; 10(8):e0136270. PubMed ID: 26295801
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction.
    Gazzotti R; Faron C; Gandon F; Lacroix-Hugues V; Darmon D
    J Biomed Semantics; 2022 Feb; 13(1):6. PubMed ID: 35193692
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Study on the semi-supervised learning-based patient similarity from heterogeneous electronic medical records.
    Wang N; Huang Y; Liu H; Zhang Z; Wei L; Fei X; Chen H
    BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):58. PubMed ID: 34330261
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.