Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review
Issues The sale of illicit drugs online has expanded to mainstream social media apps. These
platforms provide access to a wide audience, especially children and adolescents …
platforms provide access to a wide audience, especially children and adolescents …
Text classification models for the automatic detection of nonmedical prescription medication use from social media
Background Prescription medication (PM) misuse/abuse has emerged as a national crisis in
the United States, and social media has been suggested as a potential resource for …
the United States, and social media has been suggested as a potential resource for …
Artificial intelligence, social media and depression. A new concept of health-related digital autonomy
S Laacke, R Mueller, G Schomerus… - The American Journal of …, 2021 - Taylor & Francis
The development of artificial intelligence (AI) in medicine raises fundamental ethical issues.
As one example, AI systems in the field of mental health successfully detect signs of mental …
As one example, AI systems in the field of mental health successfully detect signs of mental …
Identifying illicit drug dealers on instagram with large-scale multimodal data fusion
Illicit drug trafficking via social media sites such as Instagram have become a severe
problem, thus drawing a great deal of attention from law enforcement and public health …
problem, thus drawing a great deal of attention from law enforcement and public health …
Detection of illicit drug trafficking events on instagram: A deep multimodal multilabel learning approach
Social media such as Instagram and Twitter have become important platforms for marketing
and selling illicit drugs. Detection of online illicit drug trafficking has become critical to …
and selling illicit drugs. Detection of online illicit drug trafficking has become critical to …
Drug abuse detection in twitter-sphere: Graph-based approach
KM Saifuddin, MIK Islam… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The rate of non-medical use of opioid drugs has increased markedly since the early 2000s.
Due to this non-medical use, abusers suffer from different adverse effects that include …
Due to this non-medical use, abusers suffer from different adverse effects that include …
Biomedical research on substances of abuse: The Italian case study
C Magliaro, A Ahluwalia - Alternatives to Laboratory Animals, 2022 - journals.sagepub.com
Substances of abuse have the potential to cause addiction, habituation or altered
consciousness. Most of the research on these substances focuses on addiction, and is …
consciousness. Most of the research on these substances focuses on addiction, and is …
A multi-input multi-output transformer-based hybrid neural network for multi-class privacy disclosure detection
AKM Mehdy, H Mehrpouyan - arXiv preprint arXiv:2108.08483, 2021 - arxiv.org
The concern regarding users' data privacy has risen to its highest level due to the massive
increase in communication platforms, social networking sites, and greater users' …
increase in communication platforms, social networking sites, and greater users' …
[HTML][HTML] Crowdsourcing for machine learning in public health surveillance: lessons learned from Amazon Mechanical Turk
Z Shakeri Hossein Abad, GP Butler… - Journal of medical …, 2022 - jmir.org
Background Crowdsourcing services, such as Amazon Mechanical Turk (AMT), allow
researchers to use the collective intelligence of a wide range of web users for labor …
researchers to use the collective intelligence of a wide range of web users for labor …