[HTML][HTML] Effects of internet and smartphone addiction on cognitive control in adolescents and young adults: A systematic review of fMRI studies

ML Méndez, I Padrón, A Fumero, RJ Marrero - … & Biobehavioral Reviews, 2024 - Elsevier
Abstract Background Internet Addiction (IA) refers to excessive or uncontrolled behaviors
related to Internet access, causing impairment or distress. Similarly, Smartphone Addiction …

The evolution of Big Data in neuroscience and neurology

L Dipietro, P Gonzalez-Mego, C Ramos-Estebanez… - Journal of Big Data, 2023 - Springer
Neurological diseases are on the rise worldwide, leading to increased healthcare costs and
diminished quality of life in patients. In recent years, Big Data has started to transform the …

[HTML][HTML] Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: retrospective observational infoveillance …

J Li, Q Xu, R Cuomo… - JMIR Public Health …, 2020 - publichealth.jmir.org
Background: The coronavirus disease (COVID-19) pandemic, which began in Wuhan, China
in December 2019, is rapidly spreading worldwide with over 1.9 million cases as of mid-April …

Using Twitter for public health surveillance from monitoring and prediction to public response

SE Jordan, SE Hovet, ICH Fung, H Liang, KW Fu… - Data, 2018 - mdpi.com
Twitter is a social media platform where over 500 million people worldwide publish their
ideas and discuss diverse topics, including their health conditions and public health events …

Discovering alternative treatments for opioid use recovery using social media

S Chancellor, G Nitzburg, A Hu, F Zampieri… - Proceedings of the …, 2019 - dl.acm.org
Opioid use disorder (OUD) poses substantial risks to personal well-being and public health.
In online communities, users support those seeking recovery, in part by promoting clinically …

Mining social media data for biomedical signals and health-related behavior

RB Correia, IB Wood, J Bollen… - Annual review of …, 2020 - annualreviews.org
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 …

[HTML][HTML] Exploring the utility of community-generated social media content for detecting depression: an analytical study on Instagram

BJ Ricard, LA Marsch, B Crosier… - Journal of medical Internet …, 2018 - jmir.org
Background The content produced by individuals on various social media platforms has
been successfully used to identify mental illness, including depression. However, most of the …

Insights from the Twittersphere: a cross-sectional study of public perceptions, usage patterns, and geographical differences of tweets discussing cocaine

C Castillo-Toledo, O Fraile-Martínez… - Frontiers in …, 2024 - frontiersin.org
Introduction Cocaine abuse represents a major public health concern. The social perception
of cocaine has been changing over the decades, a phenomenon closely tied to its patterns …

Impact of smart city planning and construction on economic and social benefits based on big data analysis

Z Zhao, Y Zhang - Complexity, 2020 - Wiley Online Library
With the progress of urbanization, urban management is facing a series of challenges in the
new situation. The scale of the city is growing, urban management problems are …

Barriers to opioid use disorder treatment: a comparison of self-reported information from social media with barriers found in literature

W Bremer, K Plaisance, D Walker, M Bonn… - Frontiers in public …, 2023 - frontiersin.org
Introduction Medications such as buprenorphine and methadone are effective for treating
opioid use disorder (OUD), but many patients face barriers related to treatment and access …