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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…

社会与信息网络 · 计算机科学 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…

神经元与认知 · 定量生物学 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…

机器学习 · 计算机科学 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…

人工智能 · 计算机科学 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…

信息检索 · 计算机科学 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…

计算与语言 · 计算机科学 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…

社会与信息网络 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 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…

社会与信息网络 · 计算机科学 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…

信号处理 · 电气工程与系统科学 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…

机器学习 · 计算机科学 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…

机器学习 · 计算机科学 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.…

人机交互 · 计算机科学 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…

计算与语言 · 计算机科学 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…

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…

信号处理 · 电气工程与系统科学 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…

信号处理 · 电气工程与系统科学 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…

人机交互 · 计算机科学 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,…

计算与语言 · 计算机科学 2024-05-13 Yao Ge , Sudeshna Das , Karen O'Connor , Mohammed Ali Al-Garadi , Graciela Gonzalez-Hernandez , Abeed Sarker