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Clustering WHO-ART Terms Using Semantic Distance and Machine Learning Algorithms
WHO-ART was developed by the WHO collaborating centre for international drug monitoring in order to code adverse drug reactions. We assume that computation of semantic distance between WHO-ART terms may be an efficient way to group related medical conditions in the WHO database in order to improve s...
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| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
American Medical Informatics Association
2006
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1839713/ https://ncbi.nlm.nih.gov/pubmed/17238365 |
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