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Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter
BACKGROUND: Opioid misuse (OM) is a major health problem in the United States, and can lead to addiction and fatal overdose. We sought to employ natural language processing (NLP) and machine learning to categorize Twitter chatter based on the motive of OM. MATERIALS AND METHODS: We collected data fr...
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| Опубликовано в: : | Comput Biol Med |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7855783/ https://ncbi.nlm.nih.gov/pubmed/33290931 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2020.104132 |
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