BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

194 related articles for article (PubMed ID: 37817193)

  • 1. Construction of a knowledge graph for breast cancer diagnosis based on Chinese electronic medical records: development and usability study.
    Li X; Sun S; Tang T; Lu J; Zhang L; Yin J; Geng Q; Wu Y
    BMC Med Inform Decis Mak; 2023 Oct; 23(1):210. PubMed ID: 37817193
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Construction of a Digestive System Tumor Knowledge Graph Based on Chinese Electronic Medical Records: Development and Usability Study.
    Xiu X; Qian Q; Wu S
    JMIR Med Inform; 2020 Oct; 8(10):e18287. PubMed ID: 33026359
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The construction of a TCM knowledge graph and application of potential knowledge discovery in diabetic kidney disease by integrating diagnosis and treatment guidelines and real-world clinical data.
    Zhao X; Wang Y; Li P; Xu J; Sun Y; Qiu M; Pang G; Wen T
    Front Pharmacol; 2023; 14():1147677. PubMed ID: 37324451
    [No Abstract]   [Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Construction and application of Chinese breast cancer knowledge graph based on multi-source heterogeneous data.
    An B
    Math Biosci Eng; 2023 Feb; 20(4):6776-6799. PubMed ID: 37161128
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs.
    Zhao Q; Li J; Zhao L; Zhu Z
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(6):3343-3352. PubMed ID: 35969556
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. [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]  

  • 12. 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]  

  • 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. Design of Knowledge Graph Retrieval System for Legal and Regulatory Framework of Multilevel Latent Semantic Indexing.
    Zhu G; Hao M; Zheng C; Wang L
    Comput Intell Neurosci; 2022; 2022():6781043. PubMed ID: 35909848
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study.
    Deng L; Chen L; Yang T; Liu M; Li S; Jiang T
    J Med Internet Res; 2021 Jun; 23(6):e26892. PubMed ID: 34128811
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Real-world data medical knowledge graph: construction and applications.
    Li L; Wang P; Yan J; Wang Y; Li S; Jiang J; Sun Z; Tang B; Chang TH; Wang S; Liu Y
    Artif Intell Med; 2020 Mar; 103():101817. PubMed ID: 32143785
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study.
    Murali L; Gopakumar G; Viswanathan DM; Nedungadi P
    J Biomed Inform; 2023 Jul; 143():104403. PubMed ID: 37230406
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion.
    Lan Y; He S; Liu K; Zeng X; Liu S; Zhao J
    BMC Med Inform Decis Mak; 2021 Nov; 21(Suppl 9):335. PubMed ID: 34844576
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.