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Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese
BACKGROUND: There is an increasing amount of unstructured medical data that can be analysed for different purposes. However, information extraction from free text data may be particularly inefficient in the presence of spelling errors. Existing approaches use string similarity methods to search for...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849162/ https://www.ncbi.nlm.nih.gov/pubmed/31711534 http://dx.doi.org/10.1186/s13326-019-0216-2 |