A scoping review of the use of Twitter for public health research

O Edo-Osagie, B De La Iglesia, I Lake… - Computers in biology and …, 2020 - Elsevier
Public health practitioners and researchers have used traditional medical databases to
study and understand public health for a long time. Recently, social media data, particularly …

Surveillance of communicable diseases using social media: A systematic review

P Pilipiec, I Samsten, A Bota - PLoS One, 2023 - journals.plos.org
Background Communicable diseases pose a severe threat to public health and economic
growth. The traditional methods that are used for public health surveillance, however …

Effective text data preprocessing technique for sentiment analysis in social media data

S Pradha, MN Halgamuge… - 2019 11th international …, 2019 - ieeexplore.ieee.org
In the big data era, data is made in real-time or closer to real-time. Thus, businesses can
utilize this evergrowing volume of data for the data-driven or information-driven decision …

Machine learning and natural language processing for geolocation-centric monitoring and characterization of opioid-related social media chatter

A Sarker, G Gonzalez-Hernandez, Y Ruan… - JAMA network …, 2019 - jamanetwork.com
Importance Automatic curation of consumer-generated, opioid-related social media big data
may enable real-time monitoring of the opioid epidemic in the United States. Objective To …

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 …

Socially enhanced situation awareness from microblogs using artificial intelligence: A survey

R Lamsal, A Harwood, MR Read - ACM Computing Surveys, 2022 - dl.acm.org
The rise of social media platforms provides an unbounded, infinitely rich source of
aggregate knowledge of the world around us, both historic and real-time, from a human …

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 …

Using machine learning for pharmacovigilance: a systematic review

P Pilipiec, M Liwicki, A Bota - Pharmaceutics, 2022 - mdpi.com
Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug
reactions to existing medicines. Traditional approaches in this field can be expensive and …

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 …

[HTML][HTML] Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis

VK Rao, D Valdez, R Muralidharan, J Agley… - Journal of Medical …, 2024 - jmir.org
Background Data from the social media platform X (formerly Twitter) can provide insights
into the types of language that are used when discussing drug use. In past research using …