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.
145 related articles for article (PubMed ID: 35964150)
1. Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach. Tarasova OA; Rudik AV; Biziukova NY; Filimonov DA; Poroikov VV J Cheminform; 2022 Aug; 14(1):55. PubMed ID: 35964150 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations. Li Y; Wang X; Hui L; Zou L; Li H; Xu L; Liu W JMIR Med Inform; 2020 Sep; 8(9):e19848. PubMed ID: 32885786 [TBL] [Abstract][Full Text] [Related]
4. Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning. Zhang Y; Xu J; Chen H; Wang J; Wu Y; Prakasam M; Xu H Database (Oxford); 2016; 2016():. PubMed ID: 27087307 [TBL] [Abstract][Full Text] [Related]
5. Extraction of Data on Parent Compounds and Their Metabolites from Texts of Scientific Abstracts. Tarasova OA; Biziukova NY; Rudik AV; Dmitriev AV; Filimonov DA; Poroikov VV J Chem Inf Model; 2021 Apr; 61(4):1683-1690. PubMed ID: 33724829 [TBL] [Abstract][Full Text] [Related]
6. Clinical named entity recognition for percutaneous coronary intervention surgical information with hybrid neural network. Wang L; Zheng Y; Chen Y; Xu H; Li F Rev Sci Instrum; 2024 Jun; 95(6):. PubMed ID: 38921058 [TBL] [Abstract][Full Text] [Related]
7. Automated Extraction of Information From Texts of Scientific Publications: Insights Into HIV Treatment Strategies. Biziukova N; Tarasova O; Ivanov S; Poroikov V Front Genet; 2020; 11():618862. PubMed ID: 33414815 [TBL] [Abstract][Full Text] [Related]
8. Lexicon and attention-based named entity recognition for kiwifruit diseases and pests: A Deep learning approach. Zhang L; Nie X; Zhang M; Gu M; Geissen V; Ritsema CJ; Niu D; Zhang H Front Plant Sci; 2022; 13():1053449. PubMed ID: 36466267 [TBL] [Abstract][Full Text] [Related]
9. A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature. Tang B; Feng Y; Wang X; Wu Y; Zhang Y; Jiang M; Wang J; Xu H J Cheminform; 2015; 7(Suppl 1 Text mining for chemistry and the CHEMDNER track):S8. PubMed ID: 25810779 [TBL] [Abstract][Full Text] [Related]
10. Entity recognition from clinical texts via recurrent neural network. Liu Z; Yang M; Wang X; Chen Q; Tang B; Wang Z; Xu H BMC Med Inform Decis Mak; 2017 Jul; 17(Suppl 2):67. PubMed ID: 28699566 [TBL] [Abstract][Full Text] [Related]
11. Recognition of chemical entities: combining dictionary-based and grammar-based approaches. Akhondi SA; Hettne KM; van der Horst E; van Mulligen EM; Kors JA J Cheminform; 2015; 7(Suppl 1 Text mining for chemistry and the CHEMDNER track):S10. PubMed ID: 25810767 [TBL] [Abstract][Full Text] [Related]
12. Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach. Batbaatar E; Ryu KH Int J Environ Res Public Health; 2019 Sep; 16(19):. PubMed ID: 31569654 [TBL] [Abstract][Full Text] [Related]
13. A document processing pipeline for annotating chemical entities in scientific documents. Campos D; Matos S; Oliveira JL J Cheminform; 2015; 7(Suppl 1 Text mining for chemistry and the CHEMDNER track):S7. PubMed ID: 25810778 [TBL] [Abstract][Full Text] [Related]
14. Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations. Munkhdalai T; Li M; Batsuren K; Park HA; Choi NH; Ryu KH J Cheminform; 2015; 7(Suppl 1 Text mining for chemistry and the CHEMDNER track):S9. PubMed ID: 25810780 [TBL] [Abstract][Full Text] [Related]
15. Character level and word level embedding with bidirectional LSTM - Dynamic recurrent neural network for biomedical named entity recognition from literature. Gajendran S; D M; Sugumaran V J Biomed Inform; 2020 Dec; 112():103609. PubMed ID: 33122119 [TBL] [Abstract][Full Text] [Related]
16. Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text. Lopes F; Teixeira C; Gonçalo Oliveira H J Med Syst; 2020 Feb; 44(4):77. PubMed ID: 32112285 [TBL] [Abstract][Full Text] [Related]
17. LSTMVoter: chemical named entity recognition using a conglomerate of sequence labeling tools. Hemati W; Mehler A J Cheminform; 2019 Jan; 11(1):3. PubMed ID: 30631966 [TBL] [Abstract][Full Text] [Related]
18. Named entity recognition and classification in biomedical text using classifier ensemble. Saha S; Ekbal A; Sikdar UK Int J Data Min Bioinform; 2015; 11(4):365-91. PubMed ID: 26336665 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network. Xiong Y; Peng H; Xiang Y; Wong KC; Chen Q; Yan J; Tang B J Biomed Inform; 2022 Apr; 128():104035. PubMed ID: 35217186 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]