Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

BACKGROUND: On December 6 and 7, 2017, the US Department of Health and Human Services (HHS) hosted its first Code-a-Thon event aimed at leveraging technology and data-driven solutions to help combat the opioid epidemic. The authors—an interdisciplinary team from academia, the private sector, and the...

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Detalles Bibliográficos
Autores principales: Mackey, Tim, Kalyanam, Janani, Klugman, Josh, Kuzmenko, Ella, Gupta, Rashmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948414/
https://www.ncbi.nlm.nih.gov/pubmed/29613851
http://dx.doi.org/10.2196/10029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948414/
https://www.ncbi.nlm.nih.gov/pubmed/29613851
http://dx.doi.org/10.2196/10029

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