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Social media platforms, particularly Reddit's r/Epilepsy community, offer a unique perspective into the experiences of individuals with epilepsy (PWE) and their caregivers. This study analyzes 57k posts and 533k comments to explore key…

人工智能 · 计算机科学 2024-12-03 Liza Dahiya , Rachit Bagga

Social media data allows researchers to construct large digital cohorts to study the interplay between human behavior and medical treatment.Identifying the users most relevant to a specific health problem is, however, a challenge in that…

社会与信息网络 · 计算机科学 2025-05-28 Ziqi Guo , Jack Felag , Jordan C. Rozum , Rion Brattig Correia , Xuan Wang , Luis M. Rocha

The United States is currently experiencing an unprecedented opioid crisis, and opioid overdose has become a leading cause of injury and death. Effective opioid addiction recovery calls for not only medical treatments, but also behavioral…

社会与信息网络 · 计算机科学 2019-12-04 Zhou Yang , Spencer Bradshaw , Rattikorn Hewett , Fang Jin

Introduction: Approximately 23 million or 30% of epilepsy patients worldwide suffer from drug-resistant epilepsy (DRE). The unpredictability of seizure occurrences, which causes safety issues as well as social concerns, restrict the…

机器学习 · 计算机科学 2024-10-10 Shriya Jaddu , Sidh Jaddu , Camilo Gutierrez , Quincy K. Tran

Slow wave sleep duration and spectral abnormalities are related to both epilepsy and depression, but it is unclear how depressive symptoms in patients with epilepsy are affected by slow wave sleep duration and clinical factors, and how the…

神经元与认知 · 定量生物学 2023-11-09 Stefanía Eyjolfsdóttir , Eugen Trinka , Yvonne Höller

The COVID-19 pandemic has escalated mental health crises worldwide, with social isolation and economic instability contributing to a rise in suicidal behavior. Suicide can result from social factors such as shame, abuse, abandonment, and…

We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We…

Computational research on mental health disorders from written texts covers an interdisciplinary area between natural language processing and psychology. A crucial aspect of this problem is prevention and early diagnosis, as suicide…

机器学习 · 统计学 2020-11-04 Ana-Maria Bucur , Liviu P. Dinu

Almost 50% depression patients face the risk of going into relapse. The risk increases to 80% after the second episode of depression. Although, depression detection from social media has attained considerable attention, depression relapse…

Sudden Unexpected Death in Epilepsy (SUDEP) and acute ischemic stroke are life-threatening conditions involving complex interactions across cortical, brainstem, and autonomic systems. We present a unified geometric-stochastic multimodal…

机器学习 · 计算机科学 2025-12-10 Preksha Girish , Rachana Mysore , Mahanthesha U , Shrey Kumar , Misbah Fatimah Annigeri , Tanish Jain

Research in psychopathology has shown that, at an aggregate level, the patterns of emotional change over time -- emotion dynamics -- are indicators of one's mental health. One's patterns of emotion change have traditionally been determined…

计算与语言 · 计算机科学 2023-11-07 Daniela Teodorescu , Tiffany Cheng , Alona Fyshe , Saif M. Mohammad

Epilepsy is a common neurological disorder characterized by abrupt seizures. Although seizures may appear random, they are often preceded by early warning signs in neural signals, notably, critical slowing down, a phenomenon in which the…

系统与控制 · 电气工程与系统科学 2024-11-12 Yuzhen Qin , Marcel van Gerven

Depression is the leading cause of disability worldwide. Initial efforts to detect depression signals from social media posts have shown promising results. Given the high internal validity, results from such analyses are potentially…

社会与信息网络 · 计算机科学 2020-06-16 Lucia Lushi Chen , Walid Magdy , Heather Whalley , Maria Wolters

Text sentiment analysis for preliminary depression status estimation of users on social media is a widely exercised and feasible method, However, the immense variety of users accessing the social media websites and their ample mix of…

计算与语言 · 计算机科学 2020-12-01 Sudhir Kumar Suman , Hrithwik Shalu , Lakshya A Agrawal , Archit Agrawal , Juned Kadiwala

We describe the development of a model to detect user-level clinical depression based on a user's temporal social media posts. Our model uses a Depression Symptoms Detection (DSD) classifier, which is trained on the largest existing samples…

计算与语言 · 计算机科学 2023-03-31 Nawshad Farruque , Randy Goebel , Sudhakar Sivapalan , Osmar R. Zaïane

Epilepsy affects more than 50 million people worldwide, making it one of the world's most prevalent neurological diseases. The main symptom of epilepsy is seizures, which occur abruptly and can cause serious injury or death. The ability to…

信号处理 · 电气工程与系统科学 2024-02-06 Zakary Georgis-Yap , Milos R. Popovic , Shehroz S. Khan

Epilepsy or the occurrence of epileptic seizures, is one of the world's most well-known neurological disorders affecting millions of people. Seizures mostly occur due to non-coordinated electrical discharges in the human brain and may cause…

机器学习 · 计算机科学 2023-03-14 Hitesh Raju , Ankit Sharma , Aoife Smeaton , Alan F. Smeaton

In today's interconnected society, social media platforms provide a window into individuals' thoughts, emotions, and mental states. This paper explores the use of platforms like Facebook, X (formerly Twitter), and Reddit for depression…

人工智能 · 计算机科学 2025-10-02 Yusif Ibrahimov , Tarique Anwar , Tommy Yuan , Turan Mutallimov , Elgun Hasanov

With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitter. Unlike traditional observational cohort studies…

Epilepsy is a chronic neurological disorder characterized by recurrent unprovoked seizures, affects over 50 million people worldwide, and poses significant risks, including sudden unexpected death in epilepsy (SUDEP). Conventional unimodal…

神经与进化计算 · 计算机科学 2026-01-12 Ijaz Ahmad , Faizan Ahmad , Sunday Timothy Aboyeji , Yongtao Zhang , Peng Yang , Javed Ali Khan , Rab Nawaz , Baiying Lei
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