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Using social media for mental health surveillance: a review
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …
data may also support standard surveillance approaches and provide decision-makers with …
Values, challenges and future directions of big data analytics in healthcare: A systematic review
The emergence of powerful software has created conditions and approaches for large
datasets to be collected and analyzed which has led to informed decision-making towards …
datasets to be collected and analyzed which has led to informed decision-making towards …
[HTML][HTML] Toward dynamic urban environmental exposure assessments in mental health research
M Helbich - Environmental research, 2018 - Elsevier
It is increasingly recognized that mental disorders are affected by both personal
characteristics and environmental exposures. The built, natural, and social environments …
characteristics and environmental exposures. The built, natural, and social environments …
[HTML][HTML] The power of emotions: Leveraging user generated content for customer experience management
Customer experience management (CEM) in the social media age finds itself needing to
adapt to a rapidly changing digital environment and hence there is a need for innovative …
adapt to a rapidly changing digital environment and hence there is a need for innovative …
Digital innovations for global mental health: opportunities for data science, task sharing, and early intervention
Purpose Globally, individuals living with mental disorders are more likely to have access to a
mobile phone than mental health care. In this commentary, we highlight opportunities for …
mobile phone than mental health care. In this commentary, we highlight opportunities for …
Data work of frontline care workers: practices, problems, and opportunities in the context of data-driven long-term care
Using data and data technologies to support healthcare has drawn significant attention
recently. While CSCW and HCI have largely celebrated the tremendous promise of'data …
recently. While CSCW and HCI have largely celebrated the tremendous promise of'data …
A framework to analyze the emotional reactions to mass violent events on Twitter and influential factors
The number of mass shootings has increased in recent years. Understanding the factors that
affect the emotional reactions of the population is very important to help them to cope with …
affect the emotional reactions of the population is very important to help them to cope with …
Spatio-temporal distribution of negative emotions in New York City after a natural disaster as seen in social media
Disasters have substantial consequences for population mental health. We used Twitter to
(1) extract negative emotions indicating discomfort in New York City (NYC) before, during …
(1) extract negative emotions indicating discomfort in New York City (NYC) before, during …
Predictors of contemporary under-5 child mortality in low-and middle-income countries: A machine learning approach
Child Mortality (CM) is a worldwide concern, annually affecting as many as 6.81% children
in low-and middle-income countries (LMIC). We used data of the Multiple Indicators Cluster …
in low-and middle-income countries (LMIC). We used data of the Multiple Indicators Cluster …
[HTML][HTML] Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study
Background: Large-scale crisis events such as COVID-19 often have secondary impacts on
individuals' mental well-being. University students are particularly vulnerable to such …
individuals' mental well-being. University students are particularly vulnerable to such …