[HTML][HTML] Prevalence of health misinformation on social media: systematic review
V Suarez-Lledo, J Alvarez-Galvez - Journal of medical Internet research, 2021 - jmir.org
Background Although at present there is broad agreement among researchers, health
professionals, and policy makers on the need to control and combat health misinformation …
professionals, and policy makers on the need to control and combat health misinformation …
Machine learning in mental health: a scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
COVID-19 open source data sets: a comprehensive survey
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
[HTML][HTML] Machine learning and natural language processing in mental health: systematic review
A Le Glaz, Y Haralambous, DH Kim-Dufor… - Journal of medical …, 2021 - jmir.org
Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …
automatically learn models from data to make better decisions. Natural language processing …
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 …
study and understand public health for a long time. Recently, social media data, particularly …
Computational Science Role in Medical and Healthcare‐Related Approach
Medical imaging, human genome research, clinical diagnosis, and medical data
management are all areas where computer technology plays a critical role in modern …
management are all areas where computer technology plays a critical role in modern …
Machine learning and natural language processing for geolocation-centric monitoring and characterization of opioid-related social media chatter
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 …
may enable real-time monitoring of the opioid epidemic in the United States. Objective To …
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 …
[HTML][HTML] Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) …
Background Social media is an important information source for a growing subset of the
population and can likely be leveraged to provide insight into the evolving drug overdose …
population and can likely be leveraged to provide insight into the evolving drug overdose …
Mining social media data for biomedical signals and health-related behavior
Social media data have been increasingly used to study biomedical and health-related
phenomena. From cohort-level discussions of a condition to population-level analyses of …
phenomena. From cohort-level discussions of a condition to population-level analyses of …