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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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Main Authors: Iavindrasana, Jimison, Bousquet, Cedric, Degoulet, Patrice, Jaulent, Marie-Christine
格式: Artigo
語言:Inglês
出版: American Medical Informatics Association 2006
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC1839713/
https://ncbi.nlm.nih.gov/pubmed/17238365
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