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Bipolar disorder (BD) is closely associated with an increased risk of suicide. However, while the prior work has revealed valuable insight into understanding the behavior of BD patients on social media, little attention has been paid to…

Computation and Language · Computer Science 2023-07-06 Daeun Lee , Sejung Son , Hyolim Jeon , Seungbae Kim , Jinyoung Han

Depressive disorders constitute a severe public health issue worldwide. However, public health systems have limited capacity for case detection and diagnosis. In this regard, the widespread use of social media has opened up a way to access…

Computation and Language · Computer Science 2023-10-10 Anxo Pérez , Neha Warikoo , Kexin Wang , Javier Parapar , Iryna Gurevych

Epilepsy is a neurological disease characterized by recurrent and spontaneous seizures. It affects approximately 50 million people worldwide. In majority of the cases accurate diagnosis of the disease can be made without using any…

Quantitative Methods · Quantitative Biology 2013-04-05 Roxana A. Stephanescu , R. G. Shivakeshavan , Sachin S. Talathi

In today's interconnected society, social media platforms have become an important part of our lives, where individuals virtually express their thoughts, emotions, and moods. These expressions offer valuable insights into their mental…

Machine Learning · Computer Science 2025-01-28 Yusif Ibrahimov , Tarique Anwar , Tommy Yuan

Epilepsy and psychogenic non-epileptic seizures often present with similar seizure-like manifestations but require fundamentally different management strategies. Misdiagnosis is common and can lead to prolonged diagnostic delays,…

Computation and Language · Computer Science 2026-03-31 Shuang Zhou , Kai Yu , Zaifu Zhan , Huixue Zhou , Min Zeng , Feng Xie , Zhiyi Sha , Rui Zhang

Sleep loss has been linked to heart disease, diabetes, cancer, and an increase in accidents, all of which are among the leading causes of death in the United States. Population-scale sleep studies have the potential to advance public health…

Quantitative Methods · Quantitative Biology 2020-04-16 Kelsey Linnell , Thayer Alshaabi , Thomas McAndrew , Jeanie Lim , Peter Sheridan Dodds , Christopher M. Danforth

Depression is debilitating, and not uncommon. Indeed, studies of excessive social media users show correlations with depression, ADHD, and other mental health concerns. Given that there is a large number of people with excessive social…

Computation and Language · Computer Science 2023-10-04 Dean Ninalga

Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow, and a mean to derive early-warning…

Social and Information Networks · Computer Science 2015-06-18 Yury Kryvasheyeu , Haohui Chen , Esteban Moro , Pascal Van Hentenryck , Manuel Cebrian

Epilepsy is a prevalent neurological disorder globally, impacting around 50 million people \cite{WHO_epilepsy_50million}. Epileptic seizures result from sudden abnormal electrical activity in the brain, which can be read as sudden and…

Machine Learning · Computer Science 2025-08-15 Mohammed Guhdar , Ramadhan J. Mstafa , Abdulhakeem O. Mohammed

Epilepsy is a neurological disorder identified by sudden and recurrent seizures, which are believed to be accompanied by distinct changes in brain dynamics. Exploring the dynamic changes of brain network states during seizures can pave the…

Signal Processing · Electrical Eng. & Systems 2023-10-06 Atefeh Khoshkhahtinat , Hoda Mohammadzade

Mental disorders such as depression and anxiety have been increasing at alarming rates in the worldwide population. Notably, the major depressive disorder has become a common problem among higher education students, aggravated, and maybe…

Computation and Language · Computer Science 2020-03-31 Paulo Mann , Aline Paes , Elton H. Matsushima

Amid lockdown period more people express their feelings over social media platforms due to closed third-place and academic researchers have witnessed strong associations between the mental healthcare and social media posts. The stress for a…

Social and Information Networks · Computer Science 2022-08-30 Muskan Garg

The increasing prevalence of mental health disorders, such as depression, anxiety, and bipolar disorder, calls for immediate need in developing tools for early detection and intervention. Social media platforms, like Reddit, represent a…

Machine Learning · Computer Science 2025-03-12 Qasim Bin Saeed , Ijaz Ahmed

Mental disorders including depression, anxiety, and other neurological disorders pose a significant global challenge, particularly among individuals exhibiting social avoidance tendencies. This study proposes a hybrid approach by leveraging…

Artificial Intelligence · Computer Science 2025-05-30 Mohammad Helal Uddin , Sabur Baidya

The behaviors of patients with depression are usually difficult to predict because the patients demonstrate the symptoms of a depressive episode without a warning at unexpected times. The goal of this research is to build algorithms that…

Computers and Society · Computer Science 2016-03-25 Taeheon Jeong , Diego Klabjan , Justin Starren

On social media, several individuals experiencing suicidal ideation (SI) do not disclose their distress explicitly. Instead, signs may surface indirectly through everyday posts or peer interactions. Detecting such implicit signals early is…

Social and Information Networks · Computer Science 2026-02-24 Soorya Ram Shimgekar , Ruining Zhao , Agam Goyal , Violeta J. Rodriguez , Paul A. Bloom , Navin Kumar , Hari Sundaram , Koustuv Saha

Epilepsy is a disorder characterised by spontaneous, recurrent seizures. Both local and network abnormalities have been associated with epilepsy, and the exact processes generating seizures are thought to be heterogeneous and…

Neurons and Cognition · Quantitative Biology 2019-01-07 Yujiang Wang , Gabrielle Marie Schroeder , Nishant Sinha , Peter Neal Taylor

Epilepsy is a common, chronic neurological disorder characterized by recurrent seizures caused by sudden bursts of abnormal electrical activity in the brain. Seizures can often be unpredictable, leading to uncertainty and anxiety for people…

Human-Computer Interaction · Computer Science 2026-04-21 Berenika Ewart-James , Matthew Wragg , Nawid Keshtmand , Amberly Brigden , Paul Marshall , Raul Santos-Rodriguez

Epilepsy is one of the most common neurological diseases globally (around 50 million people worldwide). Fortunately, up to 70% of people with epilepsy could live seizure-free if properly diagnosed and treated, and a reliable technique to…

Signal Processing · Electrical Eng. & Systems 2024-10-25 Abdul Aziz , Nhat Pham , Neel Vora , Cody Reynolds , Jaime Lehnen , Pooja Venkatesh , Zhuoran Yao , Jay Harvey , Tam Vu , Kan Ding , Phuc Nguyen