Clinical concept normalization on medical records using word embeddings and heuristics
Electronic health records contain valuable information on patients' clinical history in the form of free text. Manually analyzing millions of these documents is unfeasible and automatic natural language processing methods are essential for efficiently exploiting these data. Within this, normali...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2020
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10773/29190 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/29190 |