Results 41 to 50 of about 350,349 (330)

Individual-level Anxiety Detection and Prediction from Longitudinal YouTube and Google Search Engagement Logs [PDF]

arXiv, 2020
Anxiety disorder is one of the world's most prevalent mental health conditions, arising from complex interactions of biological and environmental factors and severely interfering one's ability to lead normal life activities. Current methods for detecting anxiety heavily rely on in-person interviews, which can be expensive, time-consuming, and blocked ...
arxiv  

Entropy Production on Cooperative Opinion Dynamics [PDF]

arXiv, 2023
As one of the most widespread social dynamics, cooperative behavior is among the most fascinating collective phenomena. Several animal species, from social insects to human beings, feature social groups altruistically working for a common benefit. This collaborative conduct pervades the actions and opinions of individuals, yielding strategic decision ...
arxiv  

Mitochondrial DNA disorders in neuromuscular diseases in diverse populations

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Neuromuscular features are common in mitochondrial DNA (mtDNA) disorders. The genetic architecture of mtDNA disorders in diverse populations is poorly understood. We analysed mtDNA variants from whole‐exome sequencing data in neuromuscular patients from South Africa, Brazil, India, Turkey and Zambia. In 998 individuals, there were two definite
Fei Gao, Katherine R Schon, Jana Vandrovcova, Özlem Yayıcı Köken, Sharika Raga, Kireshnee Naidu, Maryke Schoonen, Nimita Rani, Pedro Tomaselli, Dipti Baskar, Musambo Kapapa, Ipek Polat, Lindsay A Wilson, Kumarasamy Thangaraj, Uluç Yiş, Bevinahalli N Nandeesh, David Bearden, Michelle Kvalsund, Franclo Henning, Seena Vengalil, Atchayaram Nalini, Claudia F. R. Sobreira, Wilson Marques, Haluk Topoloğlu, Michael G Hanna, Sireesha Yareeda, Venugopalan Y Vishnu, Francois H van der Westhuizen, Izelle Smuts, Surita Meldau, Jo Wilmshurst, Büşranur Çavdarlı, Jeannine Heckmann, Patrick F Chinnery, Rita Horvath   +34 more
wiley   +1 more source

Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM [PDF]

arXiv, 2023
The most common mental disorders experienced by a person in daily life are depression and anxiety. Social stigma makes people with depression and anxiety neglected by their surroundings. Therefore, they turn to social media like Twitter for support. Detecting users with potential depression and anxiety disorders through textual data is not easy because
arxiv  

Feeling Anxious? Perceiving Anxiety in Tweets using Machine Learning [PDF]

Computers in Human Behavior, 98, 2019, 245-255, 2019
This study provides a predictive measurement tool to examine perceived anxiety from a longitudinal perspective, using a non-intrusive machine learning approach to scale human rating of anxiety in microblogs. Results suggest that our chosen machine learning approach depicts perceived user state-anxiety fluctuations over time, as well as mean trait ...
arxiv   +1 more source

Capturing what matters: Patient‐reported LGI1‐ANTibody encephalitis outcome RatiNg scale (LANTERN)

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Background LGI1‐antibody encephalitis (LGI1‐Ab‐E) is a common form of autoimmune encephalitis where most patients demonstrate ‘good’ clinician‐rated outcomes. However, more targeted questionnaires reveal numerous debilitating symptoms for many years.
Mark J Kelly, Barbara Wagner, Bryan Ceronie, Christine Strippel, Ann Yee Lin, Adam Handel, John Soltys, Sophie Binks, Philip A Powell, Sarosh R Irani   +9 more
wiley   +1 more source

Clinical and Imaging Features of Sporadic and Genetic Frontotemporal Lobar Degeneration TDP‐43 A and B

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Certain frontotemporal lobar degeneration subtypes, including TDP‐A and B, can either occur sporadically or in association with specific genetic mutations. It is uncertain whether syndromic or imaging features previously associated with these patient groups are subtype or genotype specific.
Sean Coulborn, Rhiana Schafer, Ashlin R. K. Roy, Andrzej Sokolowski, Noah G. Cryns, Dana Leichter, Argentina Lario Lago, Eliana Marisa Ramos, Yann Cobigo, Salvatore Spina, Lea T. Grinberg, Daniel H. Geschwind, Maria L. Gorno‐Tempini, Joel H. Kramer, Howard J. Rosen, Bruce L. Miller, William W. Seeley, David C. Perry   +17 more
wiley   +1 more source

Prevalence of comorbid anxiety disorders in schizophrenia

Industrial Psychiatry Journal, 2016
Background: Diagnostic and treatment hierarchical reductionisms have resulted in an oversight of anxiety syndromes in schizophrenia. Aim: The aim of this study was to find the prevalence of different anxiety disorders in schizophrenia patients. Materials
Chandra Kiran, Suprakash Chaudhury
doaj   +1 more source

Longitudinal Trajectories of Digital Cognitive Biomarkers for Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is one of the most common and debilitating symptoms of relapsing–remitting multiple sclerosis (RRMS). Digital cognitive biomarkers require less time and resources and are rapidly gaining popularity in clinical settings.
Yi Chao Foong, Daniel Merlo, Melissa Gresle, Chao Zhu, Katherine Buzzard, Jeannette Lechner‐Scott, Michael Barnett, Chenyu Wang, Bruce V. Taylor, Tomas Kalincik, Trevor Kilpatrick, David Darby, Pamela Dobay, Johan van Beek, Robert Hyde, Steve Simpson‐Yap, Helmut Butzkueven, Anneke van der Walt   +17 more
wiley   +1 more source

Clinical overview on RASopathies

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, Volume 190, Issue 4, Page 414-424, December 2022., 2022
Abstract RASopathies comprise a group of clinically overlapping developmental disorders caused by genetic variations affecting components or modulators of the RAS‐MAPK signaling cascade, which lead to dysregulation of signal flow through this pathway.
Martin Zenker
wiley   +1 more source