Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram
Tim K. Mackey(University of California San Diego), Bryan A. Liang(University of California San Diego), Mingxiang Cai(Lenovo (China)), Cortni Bardier(University of California San Diego), Vidya Purushothaman(University of California San Diego), Neal Shah(Cleveland Clinic), Jiawei Li(Sichuan University), Matthew Nali(San Diego Supercomputer Center)
Cited by 120
Related Papers
A review of existing and emerging digital technologies to combat the global trade in fake medicines
|Expert Opinion on Drug Safety|2017|356
‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare
|BMC Medicine|2019|323
Leveraging Blockchain Technology to Enhance Supply Chain Management in Healthcare:
|Blockchain in Healthcare Today|2018|235
Emerging and Reemerging Neglected Tropical Diseases: a Review of Key Characteristics, Risk Factors, and the Policy and Innovation Environment
|Clinical Microbiology Reviews|2014|227