AIMC Topic: Anxiety

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Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study.

Journal of medical Internet research Oct 12, 2020
BACKGROUND: The COVID-19 pandemic is impacting mental health, but it is not clear how people with different types of mental health problems were differentially impacted as the initial wave of cases hit.
Male Global Health Middle Aged Anxiety Adolescent SARS-CoV-2 Young Adult Humans Adult Pandemics Mental Health COVID-19 Coronavirus Infections Female Borderline Personality Disorder Self-Help Groups Betacoronavirus Pneumonia, Viral Suicidal Ideation Stress Disorders, Post-Traumatic Social Media Natural Language Processing
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Robot-mediated therapy to reduce worrying in persons with visual and intellectual disabilities.

Journal of applied research in intellectual disabilities : JARID Sep 22, 2020
BACKGROUND: The study explored the use of a robot-mediated therapeutic intervention in persons with visual and intellectual disabilities.
Anxiety Humans Robotics Intellectual Disability Adaptation, Psychological Caregivers
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A deep learning model for detecting mental illness from user content on social media.

Scientific reports Jul 16, 2020
Users of social media often share their feelings or emotional states through their posts. In this study, we developed a deep learning model to identify a user's mental state based on his/her posting information. To this end, we collected posts from m...
Male Anxiety Deep Learning Depression Bipolar Disorder Humans Female Adult Mental Health Phonetics Social Media Borderline Personality Disorder Schizophrenia Blogging Semantics Psycholinguistics Autistic Disorder
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A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions.

JAMA network open Jul 1, 2020
IMPORTANCE: The mechanisms by which engagement with internet-delivered psychological interventions are associated with depression and anxiety symptoms are unclear.
Internet Telemedicine Cognitive Behavioral Therapy Patient Participation Patient Health Questionnaire Anxiety Depression Cohort Studies Mental Health Services Humans Machine Learning Female Adult Male
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Pediatric Acute-Onset Neuropsychiatric Syndrome: A Data Mining Approach to a Very Specific Constellation of Clinical Variables.

Journal of child and adolescent psychopharmacology May 28, 2020
Pediatric acute onset neuropsychiatric syndrome (PANS) is a clinically heterogeneous disorder presenting with: unusually abrupt onset of obsessive compulsive disorder (OCD) or severe eating restrictions, with at least two concomitant cognitive, beha...
Child Autoimmune Diseases Data Mining Obsessive-Compulsive Disorder Humans Neural Networks, Computer Female Male Anxiety
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Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample.

BMC psychiatry Mar 30, 2020
BACKGROUND: This study aimed to determine conditional dependence relationships of variables that contribute to psychological vulnerability associated with suicide risk. A Bayesian network (BN) was developed and applied to establish conditional depend...
Anxiety Suicide, Attempted Adolescent Suicidal Ideation Bayes Theorem Mood Disorders Female Young Adult Adult Humans Male Artificial Intelligence Middle Aged
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Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community.

Journal of medical Internet research Mar 10, 2020
BACKGROUND: Couples struggling with infertility are increasingly turning to the internet for infertility-related content and to connect with others. Most of the published data on infertility and the internet only address the experiences of women, wit...
Qualitative Research Social Media Natural Language Processing Infertility, Male Humans Male Anxiety
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Identifying the presence and timing of discrete mood states prior to therapy.

Behaviour research and therapy Feb 27, 2020
The present study tested a novel, person-specific method for identifying discrete mood profiles from time-series data, and examined the degree to which these profiles could be predicted by lagged mood and anxiety variables and time-based variables, i...
Time Factors Psychotherapy Affect Anhedonia Fear Biological Variation, Individual Hope Anger Avoidance Learning Depressive Disorder, Major Anxiety Anxiety Disorders Depression Latent Class Analysis Young Adult Adult Male Middle Aged Humans Machine Learning Female Rumination, Cognitive Irritable Mood
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Artificial neural networks for predicting social comparison effects among female Instagram users.

PloS one Feb 25, 2020
Systematic exposure to social media causes social comparisons, especially among women who compare their image to others; they are particularly vulnerable to mood decrease, self-objectification, body concerns, and lower perception of themselves. This ...
Adult Middle Aged Poland Anxiety Depression Humans Artificial Intelligence Female Young Adult Social Behavior Social Networking Surveys and Questionnaires Adolescent Social Media Self Concept
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Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease.

Artificial intelligence in medicine Jan 21, 2020
Tracking symptoms progression in the early stages of Parkinson's disease (PD) is a laborious endeavor as the disease can be expressed with vastly different phenotypes, forcing clinicians to follow a multi-parametric approach in patient evaluation, lo...
Middle Aged Aged Parkinson Disease Humans Disease Progression Affect Aged, 80 and over Machine Learning Memory Anxiety Adult Prognosis Sleep Wake Disorders Cognition Male Female Autonomic Nervous System
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