A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

I Palomares, E Martínez-Cámara, R Montes… - Applied …, 2021 - Springer
Abstract The17 Sustainable Development Goals (SDGs) established by the United Nations
Agenda 2030 constitute a global blueprint agenda and instrument for peace and prosperity …

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework

A Sarker, A DeRoos, J Perrone - Journal of the American …, 2020 - academic.oup.com
Objective Prescription medication (PM) misuse and abuse is a major health problem
globally, and a number of recent studies have focused on exploring social media as a …

Text classification models for the automatic detection of nonmedical prescription medication use from social media

MA Al-Garadi, YC Yang, H Cai, Y Ruan… - BMC medical informatics …, 2021 - Springer
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 …

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

A Fuller, M Vasek, E Mariconti… - Drug and Alcohol …, 2024 - Wiley Online Library
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 …

Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance

O Edo-Osagie, G Smith, I Lake, O Edeghere… - PloS one, 2019 - journals.plos.org
We investigate the use of Twitter data to deliver signals for syndromic surveillance in order to
assess its ability to augment existing syndromic surveillance efforts and give a better …

An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning

H Hu, NH Phan, SA Chun, J Geller, H Vo, X Ye… - Computational Social …, 2019 - Springer
Drug abuse continues to accelerate towards becoming the most severe public health
problem in the United States. The ability to detect drug-abuse risk behavior at a population …

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 …

An inside look at the opioid crisis over Twitter

JA Lossio-Ventura, J Bian - 2018 IEEE international conference …, 2018 - ieeexplore.ieee.org
The dramatic increase of opioid use and abuse has become a crisis in the United States. To
tackle this crisis, the necessary first step is to understand the behavioral processes of its …

An Intelligent Health Care System for Detecting Drug Abuse in Social Media Platforms Based on Low Resource Language

T Kanan, A AbedAlghafer, S AlZu'bi… - … on Audio, Speech …, 2023 - ieeexplore.ieee.org
Lately, the use of the Internet has led to an increase in social networking sites. The world
has become an open environment, and social networking sites have been increasingly used …

Robust Drug Use Detection on X: Ensemble Method with a Transformer Approach

R Al-Ghannam, M Ykhlef, H Al-Dossari - Arabian Journal for Science and …, 2024 - Springer
There is a growing trend for groups associated with drug use to exploit social media
platforms to propagate content that poses a risk to the population, especially those …