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Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies
BACKGROUND: Free-text descriptions in electronic health records (EHRs) can be of interest for clinical research and care optimization. However, free text cannot be readily interpreted by a computer and, therefore, has limited value. Natural Language Processing (NLP) algorithms can make free text mac...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Biomed Semantics |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7670625/ https://ncbi.nlm.nih.gov/pubmed/33198814 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13326-020-00231-z |
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