235 related articles for article (PubMed ID: 32044989)
1. Does BERT need domain adaptation for clinical negation detection?
Lin C; Bethard S; Dligach D; Sadeque F; Savova G; Miller TA
J Am Med Inform Assoc; 2020 Apr; 27(4):584-591. PubMed ID: 32044989
[TBL] [Abstract][Full Text] [Related]
2. Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT.
Wada S; Takeda T; Okada K; Manabe S; Konishi S; Kamohara J; Matsumura Y
Artif Intell Med; 2024 Jul; 153():102889. PubMed ID: 38728811
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT).
Li J; Lin Y; Zhao P; Liu W; Cai L; Sun J; Zhao L; Yang Z; Song H; Lv H; Wang Z
BMC Med Inform Decis Mak; 2022 Jul; 22(1):200. PubMed ID: 35907966
[TBL] [Abstract][Full Text] [Related]
5. The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study.
Rivera Zavala R; Martinez P
JMIR Med Inform; 2020 Dec; 8(12):e18953. PubMed ID: 33270027
[TBL] [Abstract][Full Text] [Related]
6. A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation.
Stojanov R; Popovski G; Cenikj G; Koroušić Seljak B; Eftimov T
J Med Internet Res; 2021 Aug; 23(8):e28229. PubMed ID: 34383671
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study.
Weng KH; Liu CF; Chen CJ
JMIR Med Inform; 2023 Apr; 11():e46348. PubMed ID: 37097731
[TBL] [Abstract][Full Text] [Related]
8. When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification.
Li X; Yuan W; Peng D; Mei Q; Wang Y
BMC Med Inform Decis Mak; 2022 Apr; 21(Suppl 9):377. PubMed ID: 35382811
[TBL] [Abstract][Full Text] [Related]
9. Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.
Shen Z; Schutte D; Yi Y; Bompelli A; Yu F; Wang Y; Zhang R
BMC Med Inform Decis Mak; 2022 Jul; 22(Suppl 1):88. PubMed ID: 35799294
[TBL] [Abstract][Full Text] [Related]
10. Semantic Textual Similarity in Japanese Clinical Domain Texts Using BERT.
Mutinda FW; Yada S; Wakamiya S; Aramaki E
Methods Inf Med; 2021 Jun; 60(S 01):e56-e64. PubMed ID: 34237783
[TBL] [Abstract][Full Text] [Related]
11. BioBERT and Similar Approaches for Relation Extraction.
Bhasuran B
Methods Mol Biol; 2022; 2496():221-235. PubMed ID: 35713867
[TBL] [Abstract][Full Text] [Related]
12. Relation Extraction from Clinical Narratives Using Pre-trained Language Models.
Wei Q; Ji Z; Si Y; Du J; Wang J; Tiryaki F; Wu S; Tao C; Roberts K; Xu H
AMIA Annu Symp Proc; 2019; 2019():1236-1245. PubMed ID: 32308921
[TBL] [Abstract][Full Text] [Related]
13. Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.
Bressem KK; Adams LC; Gaudin RA; Tröltzsch D; Hamm B; Makowski MR; Schüle CY; Vahldiek JL; Niehues SM
Bioinformatics; 2021 Jan; 36(21):5255-5261. PubMed ID: 32702106
[TBL] [Abstract][Full Text] [Related]
14. A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance.
Lu H; Ehwerhemuepha L; Rakovski C
BMC Med Res Methodol; 2022 Jul; 22(1):181. PubMed ID: 35780100
[TBL] [Abstract][Full Text] [Related]
15. Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework.
Liu H; Zhang Z; Xu Y; Wang N; Huang Y; Yang Z; Jiang R; Chen H
J Med Internet Res; 2021 Jan; 23(1):e19689. PubMed ID: 33433395
[TBL] [Abstract][Full Text] [Related]
16. Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study.
Chen YP; Lo YH; Lai F; Huang CH
J Med Internet Res; 2021 Jan; 23(1):e25113. PubMed ID: 33502324
[TBL] [Abstract][Full Text] [Related]
17. Korean clinical entity recognition from diagnosis text using BERT.
Kim YM; Lee TH
BMC Med Inform Decis Mak; 2020 Sep; 20(Suppl 7):242. PubMed ID: 32998724
[TBL] [Abstract][Full Text] [Related]
18. Traditional Chinese medicine clinical records classification with BERT and domain specific corpora.
Yao L; Jin Z; Mao C; Zhang Y; Luo Y
J Am Med Inform Assoc; 2019 Dec; 26(12):1632-1636. PubMed ID: 31550356
[TBL] [Abstract][Full Text] [Related]
19. Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech.
Balagopalan A; Eyre B; Robin J; Rudzicz F; Novikova J
Front Aging Neurosci; 2021; 13():635945. PubMed ID: 33986655
[No Abstract] [Full Text] [Related]
20. Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.
Dligach D; Afshar M; Miller T
J Am Med Inform Assoc; 2019 Nov; 26(11):1272-1278. PubMed ID: 31233140
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]