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Identifying substance use risk based on deep neural networks and Instagram social media data
Social media may provide new insight into our understanding of substance use and addiction. In this study, we developed a deep-learning method to automatically classify individuals’ risk for alcohol, tobacco, and drug use based on the content from their Instagram profiles. In total, 2287 active Inst...
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| Publié dans: | Neuropsychopharmacology |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer International Publishing
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6333814/ https://ncbi.nlm.nih.gov/pubmed/30356094 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41386-018-0247-x |
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