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Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models
BACKGROUND: Patients’ family history (FH) is a critical risk factor associated with numerous diseases. However, FH information is not well captured in the structured database but often documented in clinical narratives. Natural language processing (NLP) is the key technology to extract patients’ FH...
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| Publicat a: | JMIR Med Inform |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
JMIR Publications
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7772072/ https://ncbi.nlm.nih.gov/pubmed/33320104 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/22982 |
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