English
Related papers

Related papers: Small Cohort of Epilepsy Patients Showed Increased…

200 papers

Epilepsy is one of the most common neurological disorders, affecting about 1% of the population at all ages. Detecting the development of epilepsy, i.e., epileptogenesis (EPG), before any seizures occur could allow for early interventions…

Machine Learning · Computer Science 2020-06-18 Diyuan Lu , Sebastian Bauer , Valentin Neubert , Lara Sophie Costard , Felix Rosenow , Jochen Triesch

Epilepsy is a dynamic and complex neurological disease affecting about 1% of the worldwide population, among which 30% of the patients are drug-resistant. Epilepsy is characterized by recurrent episodes of paroxysmal neural discharges (the…

Neurons and Cognition · Quantitative Biology 2021-01-27 Elif Köksal Ersöz , Julien Modolo , Fabrice Bartolomei , Fabrice Wendling

Suicide remains a critical global public health issue. While previous studies have provided valuable insights into detecting suicidal expressions in individual social media posts, limited attention has been paid to the analysis of…

Computation and Language · Computer Science 2025-10-17 Jun Li , Qun Zhao

Epilepsy is one of the most occurring neurological disease globally emerged back in 4000 BC. It is affecting around 50 million people of all ages these days. The trait of this disease is recurrent seizures. In the past few decades, the…

Machine Learning · Computer Science 2021-11-08 Virender Ranga , Shivam Gupta , Jyoti Meena , Priyansh Agrawal

Approximately over 50 million people worldwide suffer from epilepsy. Traditional diagnosis of epilepsy relies on tedious visual screening by highly trained clinicians from lengthy EEG recording that contains the presence of seizure (ictal)…

Artificial Intelligence · Computer Science 2009-04-27 Forrest Sheng Bao , Jue-Ming Gao , Jing Hu , Donald Y. -C. Lie , Yuanlin Zhang , K. J. Oommen

The US opioid overdose epidemic has been a major public health concern in recent decades. There has been increasing recognition that its etiology is rooted in part in the social contexts that mediate substance use and access; however,…

Social and Information Networks · Computer Science 2024-10-24 Kushagra Tiwari , M. Amin Rahimian , Mark S. Roberts , Praveen Kumar , Jeannine M. Buchanich

We assess electrical brain dynamics before, during, and after one-hundred human epileptic seizures with different anatomical onset locations by statistical and spectral properties of functionally defined networks. We observe a concave-like…

Neurons and Cognition · Quantitative Biology 2013-11-25 Kaspar A. Schindler , Stephan Bialonski , Marie-Therese Horstmann , Christian E. Elger , Klaus Lehnertz

Suicide remains a leading cause of death in Western countries. As social media becomes central to daily life, digital footprints offer valuable insight into suicidal behavior. Focusing on individuals who attempted suicide while uploading…

Computation and Language · Computer Science 2025-12-05 Ilanit Sobol , Shir Lissak , Refael Tikochinski , Tal Nakash , Anat Brunstein Klomek , Eyal Fruchter , Roi Reichart

Social media has recently emerged as a premier method to disseminate information online. Through these online networks, tens of millions of individuals communicate their thoughts, personal experiences, and social ideals. We therefore…

Social and Information Networks · Computer Science 2016-07-26 Moin Nadeem

Epilepsy is a well-known neuronal disorder that can be identified by interpretation of the electroencephalogram (EEG) signal. Usually, the length of an EEG signal is quite long which is challenging to interpret manually. In this work, we…

Machine Learning · Computer Science 2019-03-07 Md Mursalin , Syed Shamsul Islam , Md Kislu Noman , Adel Ali Al-Jumaily

We calculate a measure of statistical complexity from the global dynamics of electroencephalographic (EEG) signals from healthy subjects and epileptic patients, and are able to stablish a criterion to characterize the collective behavior in…

Adaptation and Self-Organizing Systems · Physics 2015-05-13 M. Escalona-Moran , M. G. Cosenza , R. Lopez-Ruiz , P. Garcia

Epilepsy is a neurological brain disorder which life threatening and gives rise to recurrent seizures that are unprovoked. It occurs due to the abnormal chemical changes in our brain. Over the course of many years, studies have been…

Signal Processing · Electrical Eng. & Systems 2022-10-13 Muhammad Shoaib Farooq , Aimen Zulfiqar , Shamyla Riaz

People living with dementia (PLwD) often show gradual shifts in how they communicate, becoming less expressive, more repetitive, or drifting off-topic in subtle ways. While caregivers may notice these changes informally, most computational…

Artificial Intelligence · Computer Science 2025-11-21 Joy Lai , Alex Mihailidis

Stigma toward people who use substances (PWUS) is a leading barrier to seeking treatment.Further, those in treatment are more likely to drop out if they experience higher levels of stigmatization. While related concepts of hate speech and…

Screening questionnaires are used in medicine as a diagnostic aid. Creating them is a long and expensive process, which could potentially be improved through analysis of social media posts related to symptoms and behaviors prior to…

Machine Learning · Computer Science 2024-11-19 Ortal Ashkenazi , Elad Yom-Tov , Liron Vardi David

Epilepsy is one of the most common and yet diverse set of chronic neurological disorders. This excessive or synchronous neuronal activity is termed seizure. Electroencephalogram signal processing plays a significant role in detection and…

Signal Processing · Electrical Eng. & Systems 2021-09-29 Paul Grant , Md Zahidul Islam

A body of literature has demonstrated that users' mental health conditions, such as depression and anxiety, can be predicted from their social media language. There is still a gap in the scientific understanding of how psychological stress…

Computation and Language · Computer Science 2019-04-05 Sharath Chandra Guntuku , Anneke Buffone , Kokil Jaidka , Johannes Eichstaedt , Lyle Ungar

Recent data mining research has focused on the analysis of social media text, content and networks to identify suicide ideation online. However, there has been limited research on the temporal dynamics of users and suicide ideation. In this…

Social and Information Networks · Computer Science 2023-02-14 Xueying Liu , Shiaofen Fang , George Mohler , Joan Carlson , Yunyu Xiao

Seizures are one of the defining symptoms in patients with epilepsy, and due to their unannounced occurrence, they can pose a severe risk for the individual that suffers it. New research efforts are showing a promising future for the…

Machine Learning · Computer Science 2021-08-09 Carlos H. Mendoza-Cardenas , Austin J. Brockmeier

Epilepsy is a common neurological disorder characterized by recurrent seizures accompanied by excessive synchronous brain activity. The process of structural and functional brain alterations leading to increased seizure susceptibility and…

Signal Processing · Electrical Eng. & Systems 2020-06-18 Diyuan Lu , Sebastian Bauer , Valentin Neubert , Lara Sophie Costard , Felix Rosenow , Jochen Triesch
‹ Prev 1 4 5 6 7 8 10 Next ›