310 related articles for article (PubMed ID: 35386186)
1. 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]
2. 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]
3. Medical Named Entity Extraction from Chinese Resident Admit Notes Using Character and Word Attention-Enhanced Neural Network.
Gao Y; Wang Y; Wang P; Gu L
Int J Environ Res Public Health; 2020 Mar; 17(5):. PubMed ID: 32131522
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study.
Alfattni G; Belousov M; Peek N; Nenadic G
JMIR Med Inform; 2021 May; 9(5):e24678. PubMed ID: 33949962
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition.
Cho M; Ha J; Park C; Park S
J Biomed Inform; 2020 Mar; 103():103381. PubMed ID: 32004641
[TBL] [Abstract][Full Text] [Related]
12. A deep learning approach for Named Entity Recognition in Urdu language.
Anam R; Anwar MW; Jamal MH; Bajwa UI; Diez IT; Alvarado ES; Flores ES; Ashraf I
PLoS One; 2024; 19(3):e0300725. PubMed ID: 38547173
[TBL] [Abstract][Full Text] [Related]
13. Comparing general and specialized word embeddings for biomedical named entity recognition.
Ramos-Vargas RE; Román-Godínez I; Torres-Ramos S
PeerJ Comput Sci; 2021; 7():e384. PubMed ID: 33817030
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization.
Rivera-Zavala RM; Martínez P
BMC Bioinformatics; 2021 Dec; 22(Suppl 1):601. PubMed ID: 34920703
[TBL] [Abstract][Full Text] [Related]
16. DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool.
Syed M; Al-Shukri S; Syed S; Sexton K; Greer ML; Zozus M; Bhattacharyya S; Prior F
Stud Health Technol Inform; 2021 May; 281():432-436. PubMed ID: 34042780
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Deep learning with word embeddings improves biomedical named entity recognition.
Habibi M; Weber L; Neves M; Wiegandt DL; Leser U
Bioinformatics; 2017 Jul; 33(14):i37-i48. PubMed ID: 28881963
[TBL] [Abstract][Full Text] [Related]
19. Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models.
Azzouzi ME; Coatrieux G; Bellafqira R; Delamarre D; Riou C; Oubenali N; Cabon S; Cuggia M; Bouzillé G
BMC Med Inform Decis Mak; 2024 Feb; 24(1):54. PubMed ID: 38365677
[TBL] [Abstract][Full Text] [Related]
20. A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System.
Kim Y; Heider PM; Lally IR; Meystre SM
JMIR Med Inform; 2021 Apr; 9(4):e22797. PubMed ID: 33885370
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
