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[HTML][HTML] Social medicine: Twitter in healthcare
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 …
transparency and the open sharing of information between doctors and patients, the …
A sco** review of the use of Twitter for public health research
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 …
[HTML][HTML] Social media insights into US mental health during the COVID-19 pandemic: longitudinal analysis of Twitter data
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
massive social interaction among users that generate an extensive amount of data. An OSN …
Computational socioeconomics
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding 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
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 …
proliferation of Big Data demands paradigm shifts from traditional methods in the application …