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Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
Most detailed patient information in real-world data (RWD) is only consistently available in free-text clinical documents. Manual curation is expensive and time consuming. Developing natural language processing (NLP) methods for structuring RWD is thus essential for scaling real-world evidence gener...
| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140604/ https://www.ncbi.nlm.nih.gov/pubmed/37123439 http://dx.doi.org/10.1016/j.patter.2023.100726 |