Deep Learning and NLP For Knowledge Extraction from Laboratory Reports
Introduction Due to the ever-growing volume and complexity of clinical data, it has become a tedious task to extract information from data for secondary uses such as decision support, quality assurance, and outcome analysis. Recently, there have been great advances in Natural Language Processing (NL...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Swansea University
2020-12-01
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| Sarja: | International Journal of Population Data Science |
| Linkit: | https://ijpds.org/article/view/1637 |
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