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 (N...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Swansea University
2020-12-01
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| Series: | International Journal of Population Data Science |
| Online Access: | https://ijpds.org/article/view/1637 |