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 …
[HTML][HTML] Patterns of routes of administration and drug tampering for nonmedical opioid consumption: data mining and content analysis of reddit discussions
Background The complex unfolding of the US opioid epidemic in the last 20 years has been
the subject of a large body of medical and pharmacological research, and it has sparked a …
the subject of a large body of medical and pharmacological research, and it has sparked a …
The pursuit of peer support for opioid use recovery on reddit
Abstract Individuals suffering from Opioid Use Disorder and other socially stigmatized
conditions often rely on peer support groups to find comfort and motivation while treating …
conditions often rely on peer support groups to find comfort and motivation while treating …
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
The intensity of wildfires and wildfire season length is increasing due to climate change,
causing a greater threat to the local population. Much of this population are increasingly …
causing a greater threat to the local population. Much of this population are increasingly …
[HTML][HTML] The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review
Background The growing availability of big data spontaneously generated by social media
platforms allows us to leverage natural language processing (NLP) methods as valuable …
platforms allows us to leverage natural language processing (NLP) methods as valuable …
Google trends analysis of covid-19 pandemic
Z Pan, HL Nguyen, H Abu-Gellban… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The World Health Organization (WHO) announced that COVID-19 was a pandemic disease
on the 11th of March as there were 118K cases in several countries and territories …
on the 11th of March as there were 118K cases in several countries and territories …
Addict free-a smart and connected relapse intervention mobile app
It is widely acknowledged that addiction relapse is highly associated with spatial-temporal
factors such as some specific places or time periods. Current studies suggest that those …
factors such as some specific places or time periods. Current studies suggest that those …
Which Social Media Platforms Provide the Most Informative Data for Monitoring the Opioid Crisis?
Background and Aims Social media can provide real-time insight into trends in substance
use, addiction, and recovery. Prior studies have leveraged data from platforms such as …
use, addiction, and recovery. Prior studies have leveraged data from platforms such as …
Using internet search trends to forecast short term drug overdose deaths: A case study on connecticut
S Mukherjee, N Becker, W Weeks… - 2020 19th IEEE …, 2020 - ieeexplore.ieee.org
In the United States, the opioid epidemic is a serious public health crisis which claimed over
130 lives per day in 2018, according to the CDC. While there are many efforts to design …
130 lives per day in 2018, according to the CDC. While there are many efforts to design …
Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network
The opioid epidemic, referring to the growing hospitalizations and deaths because of
overdose of opioid usage and addiction, has become a severe health problem in the United …
overdose of opioid usage and addiction, has become a severe health problem in the United …