Methods in predictive techniques for mental health status on social media: a critical review

S Chancellor, M De Choudhury - NPJ digital medicine, 2020 - nature.com
Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict the …

Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems

A Thieme, D Belgrave, G Doherty - ACM Transactions on Computer …, 2020 - dl.acm.org
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

[HTML][HTML] Detecting and analyzing suicidal ideation on social media using deep learning and machine learning models

THH Aldhyani, SN Alsubari, AS Alshebami… - International journal of …, 2022 - mdpi.com
Individuals who suffer from suicidal ideation frequently express their views and ideas on
social media. Thus, several studies found that people who are contemplating suicide can be …

Detecting depression and mental illness on social media: an integrative review

SC Guntuku, DB Yaden, ML Kern, LH Ungar… - Current Opinion in …, 2017 - Elsevier
Highlights•Mental illness is underdiagnosed but observable in online contexts.•
Characteristic language use patterns associated with depression have been identified and …

Suicidal ideation detection: A review of machine learning methods and applications

S Ji, S Pan, X Li, E Cambria, G Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Suicide is a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …

Deep learning techniques for suicide and depression detection from online social media: A sco** review

A Malhotra, R **dal - Applied Soft Computing, 2022 - Elsevier
Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …

Detection of suicide ideation in social media forums using deep learning

MM Tadesse, H Lin, B Xu, L Yang - Algorithms, 2019 - mdpi.com
Suicide ideation expressed in social media has an impact on language usage. Many at-risk
individuals use social forum platforms to discuss their problems or get access to information …

Depression and self-harm risk assessment in online forums

A Yates, A Cohan, N Goharian - arxiv preprint arxiv:1709.01848, 2017 - arxiv.org
Users suffering from mental health conditions often turn to online resources for support,
including specialized online support communities or general communities such as Twitter …

[HTML][HTML] Emotion fusion for mental illness detection from social media: A survey

T Zhang, K Yang, S Ji, S Ananiadou - Information Fusion, 2023 - Elsevier
Mental illnesses are one of the most prevalent public health problems worldwide, which
negatively influence people's lives and society's health. With the increasing popularity of …

DEPTWEET: A typology for social media texts to detect depression severities

M Kabir, T Ahmed, MB Hasan, MTR Laskar… - Computers in Human …, 2023 - Elsevier
Mental health research through data-driven methods has been hindered by a lack of
standard typology and scarcity of adequate data. In this study, we leverage the clinical …