[HTML][HTML] Social medicine: Twitter in healthcare

Y Pershad, PT Hangge, H Albadawi, R Oklu - Journal of clinical medicine, 2018 - mdpi.com
Social media enables the public sharing of information. With the recent emphasis on
transparency and the open sharing of information between doctors and patients, the …

A sco** 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 …

[HTML][HTML] Social media insights into US mental health during the COVID-19 pandemic: longitudinal analysis of Twitter data

D Valdez, M Ten Thij, K Bathina, LA Rutter… - Journal of medical …, 2020 - jmir.org
Background The COVID-19 pandemic led to unprecedented mitigation efforts that disrupted
the daily lives of millions. Beyond the general health repercussions of the pandemic itself …

[HTML][HTML] Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science

A Agrawal, A Choudhary - Apl Materials, 2016 - pubs.aip.org
Our ability to collect “big data” has greatly surpassed our capability to analyze it,
underscoring the emergence of the fourth paradigm of science, which is datadriven …

Robust classification of crisis-related data on social networks using convolutional neural networks

D Nguyen, KA Al Mannai, S Joty, H Sajjad… - Proceedings of the …, 2017 - ojs.aaai.org
The role of social media, in particular microblogging platforms such as Twitter, as a conduit
for actionable and tactical information during disasters is increasingly acknowledged …

[HTML][HTML] Machine learning-based proactive social-sensor service for mental health monitoring using twitter data

S Hinduja, M Afrin, S Mistry, A Krishna - International Journal of Information …, 2022 - Elsevier
The social media platforms are considered an ecosystem of social sensors where each
social media platform user is treated as a social sensor cloud. To overcome the limitations of …

Detecting stress based on social interactions in social networks

H Lin, J Jia, J Qiu, Y Zhang, G Shen… - … on Knowledge and …, 2017 - ieeexplore.ieee.org
Psychological stress is threatening people's health. It is non-trivial to detect stress timely for
proactive care. With the popularity of social media, people are used to sharing their daily …

[HTML][HTML] Using online social networks to track a pandemic: A systematic review

MA Al-Garadi, MS Khan, KD Varathan… - Journal of biomedical …, 2016 - Elsevier
Background The popularity and proliferation of online social networks (OSNs) have created
massive social interaction among users that generate an extensive amount of data. An OSN …

Computational socioeconomics

J Gao, YC Zhang, T Zhou - Physics Reports, 2019 - Elsevier
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Applying spark based machine learning model on streaming big data for health status prediction

LR Nair, SD Shetty, SD Shetty - Computers & Electrical Engineering, 2018 - Elsevier
Abstract Machine learning is one of the driving forces of science and commerce, but the
proliferation of Big Data demands paradigm shifts from traditional methods in the application …