ロード中...
Using Character-Level and Entity-Level Representations to Enhance Bidirectional Encoder Representation From Transformers-Based Clinical Semantic Textual Similarity Model: ClinicalSTS Modeling Study
BACKGROUND: With the popularity of electronic health records (EHRs), the quality of health care has been improved. However, there are also some problems caused by EHRs, such as the growing use of copy-and-paste and templates, resulting in EHRs of low quality in content. In order to minimize data red...
保存先:
| 出版年: | JMIR Med Inform |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
JMIR Publications
2020
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7803475/ https://ncbi.nlm.nih.gov/pubmed/33372664 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/23357 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|