Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification

BACKGROUND: Instagram, with millions of posts per day, can be used to inform public health surveillance targets and policies. However, current research relying on image-based data often relies on hand coding of images, which is time-consuming and costly, ultimately limiting the scope of the study. C...

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Detalles Bibliográficos
Autores principales: Zhang, Youshan, Allem, Jon-Patrick, Unger, Jennifer Beth, Boley Cruz, Tess
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6282010/
https://www.ncbi.nlm.nih.gov/pubmed/30452385
http://dx.doi.org/10.2196/10513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6282010/
https://www.ncbi.nlm.nih.gov/pubmed/30452385
http://dx.doi.org/10.2196/10513

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