881 related articles for article (PubMed ID: 29854252)
1. Clinical Named Entity Recognition Using Deep Learning Models.
Wu Y; Jiang M; Xu J; Zhi D; Xu H
AMIA Annu Symp Proc; 2017; 2017():1812-1819. PubMed ID: 29854252
[TBL] [Abstract][Full Text] [Related]
2. Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.
Wu Y; Yang X; Bian J; Guo Y; Xu H; Hogan W
AMIA Annu Symp Proc; 2018; 2018():1110-1117. PubMed ID: 30815153
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Long short-term memory RNN for biomedical named entity recognition.
Lyu C; Chen B; Ren Y; Ji D
BMC Bioinformatics; 2017 Oct; 18(1):462. PubMed ID: 29084508
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.
Tang B; Cao H; Wu Y; Jiang M; Xu H
BMC Med Inform Decis Mak; 2013; 13 Suppl 1(Suppl 1):S1. PubMed ID: 23566040
[TBL] [Abstract][Full Text] [Related]
7. Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network.
Wu Y; Jiang M; Lei J; Xu H
Stud Health Technol Inform; 2015; 216():624-8. PubMed ID: 26262126
[TBL] [Abstract][Full Text] [Related]
8. GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text.
Zhu Q; Li X; Conesa A; Pereira C
Bioinformatics; 2018 May; 34(9):1547-1554. PubMed ID: 29272325
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of clinical named entity recognition methods for Serbian electronic health records.
Kaplar A; Stošović M; Kaplar A; Brković V; Naumović R; Kovačević A
Int J Med Inform; 2022 Aug; 164():104805. PubMed ID: 35653828
[TBL] [Abstract][Full Text] [Related]
10. Character-level neural network for biomedical named entity recognition.
Gridach M
J Biomed Inform; 2017 Jun; 70():85-91. PubMed ID: 28502909
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A two-stage deep learning approach for extracting entities and relationships from medical texts.
Suárez-Paniagua V; Rivera Zavala RM; Segura-Bedmar I; Martínez P
J Biomed Inform; 2019 Nov; 99():103285. PubMed ID: 31546016
[TBL] [Abstract][Full Text] [Related]
13. Temporal indexing of medical entity in Chinese clinical notes.
Liu Z; Wang X; Chen Q; Tang B; Xu H
BMC Med Inform Decis Mak; 2019 Jan; 19(Suppl 1):17. PubMed ID: 30700331
[TBL] [Abstract][Full Text] [Related]
14. A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text.
Wu Y; Xu J; Jiang M; Zhang Y; Xu H
AMIA Annu Symp Proc; 2015; 2015():1326-33. PubMed ID: 26958273
[TBL] [Abstract][Full Text] [Related]
15. Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules.
Korvigo I; Holmatov M; Zaikovskii A; Skoblov M
J Cheminform; 2018 May; 10(1):28. PubMed ID: 29796778
[TBL] [Abstract][Full Text] [Related]
16. A clinical text classification paradigm using weak supervision and deep representation.
Wang Y; Sohn S; Liu S; Shen F; Wang L; Atkinson EJ; Amin S; Liu H
BMC Med Inform Decis Mak; 2019 Jan; 19(1):1. PubMed ID: 30616584
[TBL] [Abstract][Full Text] [Related]
17. Combining Contextualized Embeddings and Prior Knowledge for Clinical Named Entity Recognition: Evaluation Study.
Jiang M; Sanger T; Liu X
JMIR Med Inform; 2019 Nov; 7(4):e14850. PubMed ID: 31719024
[TBL] [Abstract][Full Text] [Related]
18. DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes.
Syed M; Sexton K; Greer M; Syed S; VanScoy J; Kawsar F; Olson E; Patel K; Erwin J; Bhattacharyya S; Zozus M; Prior F
Biomed Eng Syst Technol Int Jt Conf BIOSTEC Revis Sel Pap; 2022 Feb; 5():640-647. PubMed ID: 35386186
[TBL] [Abstract][Full Text] [Related]
19. De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models.
Tang B; Jiang D; Chen Q; Wang X; Yan J; Shen Y
AMIA Annu Symp Proc; 2019; 2019():857-863. PubMed ID: 32308882
[TBL] [Abstract][Full Text] [Related]
20. Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition.
Jauregi Unanue I; Zare Borzeshi E; Piccardi M
J Biomed Inform; 2017 Dec; 76():102-109. PubMed ID: 29146561
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
