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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 persona. Although social media certainly has several remarkable…

Social and Information Networks · Computer Science 2020-08-26 Hatoon S. AlSagri , Mourad Ykhlef

Epilepsy is a chronic neurological disorder affecting more than 50 million people globally. An epileptic seizure acts like a temporary shock to the neuronal system, disrupting normal electrical activity in the brain. Epilepsy is frequently…

Neurons and Cognition · Quantitative Biology 2021-01-26 Matheus B. Guerrero , Raphaël Huser , Hernando Ombao

Sepsis is a life-threatening and serious global health issue. This study combines knowledge with available hospital data to investigate the potential causes of Sepsis that can be affected by policy decisions. We investigate the underlying…

Machine Learning · Computer Science 2025-02-19 Bruno Petrungaro , Neville K. Kitson , Anthony C. Constantinou

Epilepsy is one of the most common neurological disorders that greatly impair patient' daily lives. Traditional epileptic diagnosis relies on tedious visual screening by neurologists from lengthy EEG recording that requires the presence of…

Artificial Intelligence · Computer Science 2016-11-18 Forrest Sheng Bao , Donald Yu-Chun Lie , Yuanlin Zhang

Mental disorders such as depression and suicidal ideation are hazardous, affecting more than 300 million people over the world. However, on social media, mental disorder symptoms can be observed, and automated approaches are increasingly…

Information Retrieval · Computer Science 2023-01-26 Ramin Safa , S. A. Edalatpanah , Ali Sorourkhah

Predicting treatment non-response for anxiety and depression is challenging, in part because of sparse symptom assessments in real-world care. We examined whether passively captured, fine-grained emotions serve as linguistic markers of…

Computation and Language · Computer Science 2026-05-07 Benjamin Brindle , George A. Bonanno , Thomas Derrick Hull , Nicolas Charon , Matteo Malgaroli

According to the World Health Organization (WHO), one in four people will be affected by mental disorders at some point in their lives. However, in many parts of the world, patients do not actively seek professional diagnosis because of…

Social and Information Networks · Computer Science 2022-04-18 Xiaobo Guo , Yaojia Sun , Soroush Vosoughi

Epileptic seizure forecasting is a clinically important yet challenging problem in epilepsy research. Existing approaches predominantly rely on neural signals such as electroencephalography (EEG), which require specialized equipment and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Mingkai Zhai , Wei Wang , Zongsheng Li , Quanying Liu

The widespread adoption of social media platforms globally not only enhances users' connectivity and communication but also emerges as a vital channel for the dissemination of health-related information, thereby establishing social media…

If people with high risk of suicide can be identified through social media like microblog, it is possible to implement an active intervention system to save their lives. Based on this motivation, the current study administered the Suicide…

Social and Information Networks · Computer Science 2014-11-05 Lei Zhang , Xiaolei Huang , Tianli Liu , Zhenxiang Chen , Tingshao Zhu

Epileptic seizure forecasting, combined with the delivery of preventative therapies, holds the potential to greatly improve the quality of life for epilepsy patients and their caregivers. Forecasting seizures could prevent some potentially…

Signal Processing · Electrical Eng. & Systems 2020-05-18 Nhan Duy Truong , Yikai Yang , Christina Maher , Armin Nikpour , Omid Kavehei

Epilepsy which is characterized by seizures is studied using EEG signals by recording the electrical activity of the brain. Different types of communication between different parts of the brain are characterized by many state of the art…

Machine Learning · Computer Science 2020-09-29 Mohammad Mansour , Fouad Khnaisser , Hmayag Partamian

Sepsis, characterized by a dysregulated immune response to infection, results in significant mortality, morbidity, and healthcare costs. The timely prediction of sepsis progression is crucial for reducing adverse outcomes through early…

Machine Learning · Computer Science 2026-01-01 Alireza Rafiei , Farshid Hajati , Alireza Rezaee , Amirhossien Panahi , Shahadat Uddin

Loneliness has reached epidemic proportions globally, posing serious risks to mental and physical health. As social media platforms increasingly mediate social interaction, understanding their relationship with loneliness has become urgent.…

Human-Computer Interaction · Computer Science 2025-10-09 Yajing Wang , Talayeh Aledavood , Juhi Kulshrestha

Suicide is a critical global health issue that requires urgent attention. Even though prior work has revealed valuable insights into detecting current suicide risk on social media, little attention has been paid to developing models that…

Computation and Language · Computer Science 2025-07-15 Jun Li , Xiangmeng Wang , Haoyang Li , Yifei Yan , Hong Va Leong , Ling Feng , Nancy Xiaonan Yu , Qing Li

Emotion artificial intelligence is a field of study that focuses on figuring out how to recognize emotions, especially in the area of text mining. Today is the age of social media which has opened a door for us to share our individual…

Human-Computer Interaction · Computer Science 2024-12-10 Sultan Ahmed , Salman Rakin , Mohammad Washeef Ibn Waliur , Nuzhat Binte Islam , Billal Hossain , Md. Mostofa Akbar

Epilepsy is the second most common brain disorder after migraine. Automatic detection of epileptic seizures can considerably improve the patients' quality of life. Current Electroencephalogram (EEG)-based seizure detection systems encounter…

Signal Processing · Electrical Eng. & Systems 2018-03-28 Ramy Hussein , Hamid Palangi , Rabab Ward , Z. Jane Wang

Epilepsy is one of the most serious neurological diseases, affecting 1-2% of the world's population. The diagnosis of epilepsy depends heavily on the recognition of epileptic waves, i.e., disordered electrical brainwave activity in the…

Signal Processing · Electrical Eng. & Systems 2023-06-26 Junru Chen , Yang Yang , Tao Yu , Yingying Fan , Xiaolong Mo , Carl Yang

Early detection of depressive episodes is crucial in managing mental health disorders such as Major Depressive Disorder (MDD) and Bipolar Disorder. However, existing methods often necessitate active participation or are confined to clinical…

Human-Computer Interaction · Computer Science 2024-04-24 Rahul Islam , Sang Won Bae

Substance use disorders (SUDs) are a growing concern globally, necessitating enhanced understanding of the problem and its trends through data-driven research. Social media are unique and important sources of information about SUDs,…

Computation and Language · Computer Science 2024-05-13 Yao Ge , Sudeshna Das , Karen O'Connor , Mohammed Ali Al-Garadi , Graciela Gonzalez-Hernandez , Abeed Sarker
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