Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models
BackgroundPatients’ 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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2020-12-01
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| Series: | JMIR Medical Informatics |
| Online Access: | http://medinform.jmir.org/2020/12/e22982/ |