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Early detection of mental disorder is crucial as it enables prompt intervention and treatment, which can greatly improve outcomes for individuals suffering from debilitating mental affliction. The recent proliferation of mental health…

Machine Learning · Computer Science 2023-05-12 Ai-Te Kuo , Haiquan Chen , Yu-Hsuan Kuo , Wei-Shinn Ku

Major Depressive Disorder (MDD) is a highly prevalent mental health condition, and a deeper understanding of its neurocognitive foundations is essential for identifying how core functions such as emotional and self-referential processing…

Depression is a common mental health condition that can lead to hopelessness, loss of interest, self-harm, and even suicide. Early detection is challenging due to individuals not self-reporting or seeking timely clinical help. With the rise…

Computation and Language · Computer Science 2025-08-25 Idrees Mohammed , Hossein Hassani

Due to its popularity and availability, social media data may present a new way to identify individuals who are experiencing mental illness. By analysing blog content, this study aimed to investigate the associations between linguistic…

Computation and Language · Computer Science 2021-06-01 B. ODea , T. W. Boonstra , M. E. Larsen , T. Nguyen , S. Venkatesh , H. Christensen

Depression has emerged as a significant mental health concern due to a variety of factors, reflecting broader societal and individual challenges. Within the digital era, social media has become an important platform for individuals…

Computers and Society · Computer Science 2023-10-19 Qihan Wang , Anique Tahir , Zeyad Alghamdi , Huan Liu

Face-to-face social interactions are an important aspect of peoples' social lives. A lack of interactions can explain how individuals develop depressive symptoms, but depressive symptoms can also explain how individuals engage in social…

Applications · Statistics 2018-11-20 Timon Elmer , Christoph Stadtfeld

Depressive disorder is one of the most prevalent mental illnesses among the global population. However, traditional screening methods require exacting in-person interviews and may fail to provide immediate interventions. In this work, we…

Computers and Society · Computer Science 2020-10-30 Boyu Zhang , Anis Zaman , Rupam Acharyya , Ehsan Hoque , Vincent Silenzio , Henry Kautz

Depression, a prevalent and serious mental health issue, affects approximately 3.8\% of the global population. Despite the existence of effective treatments, over 75\% of individuals in low- and middle-income countries remain untreated,…

Computation and Language · Computer Science 2024-07-19 Shengjie Li , Yinhao Xiao

The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing about the impact of COVID-19 on the mental health of infected…

Computation and Language · Computer Science 2023-06-14 Jiageng Wu , Xian Wu , Yining Hua , Shixu Lin , Yefeng Zheng , Jie Yang

Suicidal ideation detection from social media is an evolving research with great challenges. Many of the people who have the tendency to suicide share their thoughts and opinions through social media platforms. As part of many researches it…

Information Retrieval · Computer Science 2021-12-21 Shini Renjith , Annie Abraham , Surya B. Jyothi , Lekshmi Chandran , Jincy Thomson

Major depressive disorder is a debilitating disease affecting 264 million people worldwide. While many antidepressant medications are available, few clinical guidelines support choosing among them. Decision support tools (DSTs) embodying…

A fundamental component of user-level social media language based clinical depression modelling is depression symptoms detection (DSD). Unfortunately, there does not exist any DSD dataset that reflects both the clinical insights and the…

Computation and Language · Computer Science 2022-09-30 Nawshad Farruque , Randy Goebel , Sudhakar Sivapalan , Osmar Zaiane

In recent years, Online Social Networks have become an important medium for people who suffer from mental disorders to share moments of hardship, and receive emotional and informational support. In this work, we analyze how discussions in…

Machine Learning · Computer Science 2021-07-28 Bárbara Silveira , Henrique S. Silva , Fabricio Murai , Ana Paula Couto da Silva

Mental health disorders may cause severe consequences on all the countries' economies and health. For example, the impacts of the COVID-19 pandemic, such as isolation and travel ban, can make us feel depressed. Identifying early signs of…

Information Retrieval · Computer Science 2022-07-14 Maryam Shahabikargar

Existing studies on using social media for deriving mental health status of users focus on the depression detection task. However, for case management and referral to psychiatrists, healthcare workers require practical and scalable…

Computation and Language · Computer Science 2020-11-13 Shweta Yadav , Jainish Chauhan , Joy Prakash Sain , Krishnaprasad Thirunarayan , Amit Sheth , Jeremiah Schumm

Online social media provides a channel for monitoring people's social behaviors and their mental distress. Due to the restrictions imposed by COVID-19 people are increasingly using online social networks to express their feelings.…

Social and Information Networks · Computer Science 2021-05-19 Sahraoui Dhelim , Liming Luke Chen , Huansheng Ning , Sajal K Das , Chris Nugent , Devin Burns , Gerard Leavey , Dirk Pesch , Eleanor Bantry-White

Automatic depression detection on Twitter can help individuals privately and conveniently understand their mental health status in the early stages before seeing mental health professionals. Most existing black-box-like deep learning…

Computation and Language · Computer Science 2022-09-16 Sooji Han , Rui Mao , Erik Cambria

Post-Traumatic Stress Disorder (PTSD) is a multifaceted mental health condition, particularly challenging for individuals with pre-existing medical conditions. This review critically examines the intersection of PTSD and chronic illnesses…

Computation and Language · Computer Science 2026-01-15 Zaber Al Hassan Ayon , Nur Hafieza Ismail , Nur Shazwani Kamarudin

Major depressive disorder persistently stands as a major public health problem. While some progress has been made toward effective treatments, the neural mechanisms that give rise to the disorder remain poorly understood. In this…

Neurons and Cognition · Quantitative Biology 2025-07-23 Matthew Botvinick , Zeb Kurth-Nelson , Timothy Muller , Will Dabney

Depression is a major global public health challenge and its early identification is crucial. Social media data provides a new perspective for depression detection, but existing methods face limitations such as insufficient accuracy,…

Artificial Intelligence · Computer Science 2026-01-12 Yukun Yang
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