Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
[HTML][HTML] Researching mental health disorders in the era of social media: systematic review
Background Mental illness is quickly becoming one of the most prevalent public health
problems worldwide. Social network platforms, where users can express their emotions …
problems worldwide. Social network platforms, where users can express their emotions …
Who is the" human" in human-centered machine learning: The case of predicting mental health from social media
S Chancellor, EPS Baumer… - Proceedings of the ACM …, 2019 - dl.acm.org
" Human-centered machine learning"(HCML) combines human insights and domain
expertise with data-driven predictions to answer societal questions. This area's inherent …
expertise with data-driven predictions to answer societal questions. This area's inherent …
Machine learning-based approach for depression detection in twitter using content and activity features
HS AlSagri, M Ykhlef - IEICE Transactions on Information and …, 2020 - search.ieice.org
Social media channels, such as Facebook, Twitter, and Instagram, have altered our world
forever. People are now increasingly connected than ever and reveal a sort of digital …
forever. People are now increasingly connected than ever and reveal a sort of digital …
Identifying depression on Twitter
M Nadeem - arXiv preprint arXiv:1607.07384, 2016 - arxiv.org
Social media has recently emerged as a premier method to disseminate information online.
Through these online networks, tens of millions of individuals communicate their thoughts …
Through these online networks, tens of millions of individuals communicate their thoughts …
Methodological gaps in predicting mental health states from social media: Triangulating diagnostic signals
A growing body of research is combining social media data with machine learning to predict
mental health states of individuals. An implication of this research lies in informing evidence …
mental health states of individuals. An implication of this research lies in informing evidence …
Depressionnet: A novel summarization boosted deep framework for depression detection on social media
Twitter is currently a popular online social media platform which allows users to share their
user-generated content. This publicly-generated user data is also crucial to healthcare …
user-generated content. This publicly-generated user data is also crucial to healthcare …
Depressionnet: learning multi-modalities with user post summarization for depression detection on social media
Twitter is currently a popular online social media platform which allows users to share their
user-generated content. This publicly-generated user data is also crucial to healthcare …
user-generated content. This publicly-generated user data is also crucial to healthcare …
A scoping review of social media in child, adolescents and young adults: research findings in depression, anxiety and other clinical challenges
BackgroundSocial media and other technologies are reshaping communication and health.
AimsThis review addresses the relationship between social media use, behavioural health …
AimsThis review addresses the relationship between social media use, behavioural health …
Prediction of depressed Arab women using their tweets
E Alabdulkreem - Journal of Decision Systems, 2021 - Taylor & Francis
Social media is increasingly used to share thoughts and feelings. By mining the social
media posts, a picture of users' behavior may be obtained, to predict mental illnesses, like …
media posts, a picture of users' behavior may be obtained, to predict mental illnesses, like …