Identifying substance use risk based on deep neural networks and Instagram social media data.
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ABSTRACT:
SUBMITTER: Hassanpour S
PROVIDER: S-EPMC6333814 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature
Publications
Identifying substance use risk based on deep neural networks and Instagram social media data.
Hassanpour Saeed S Tomita Naofumi N DeLise Timothy T Crosier Benjamin B Marsch Lisa A LA
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 20181024 3
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 Instagram users participated in the study. Deep convolutional neural networks for images and long short-term memory (LSTM) for text were used to extract predictive features from these data for risk assess ...[more]
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