AIMC Topic: Anxiety

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Predicting anxiety in cancer survivors presenting to primary care - A machine learning approach accounting for physical comorbidity.

Cancer medicine Jun 2, 2021
BACKGROUND: The purpose of this study was to explore predictors for anxiety as the most common form of psychological distress in cancer survivors while accounting for physical comorbidity.
Stress, Psychological Primary Health Care Regression Analysis Predictive Value of Tests Male Middle Aged Anxiety Comorbidity Fatigue Cancer Pain Cancer Survivors Muscle Weakness Prostatic Neoplasms Colonic Neoplasms Supervised Machine Learning Sleep Initiation and Maintenance Disorders Humans Female Aged Breast Neoplasms
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Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression.

Psychiatry research Feb 24, 2021
BACKGROUND: Predicting the onset and course of mood and anxiety disorders is of clinical importance but remains difficult. We compared the predictive performances of traditional logistic regression, basic probabilistic machine learning (ML) methods, ...
Anxiety Anxiety Disorders Humans Logistic Models Machine Learning Bayes Theorem Female Adult
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Effect of Social Anxiety on the Adoption of Robotic Training Partner.

Cyberpsychology, behavior and social networking Nov 12, 2020
With the development of artificial intelligence technologies, robotic training partner is becoming a reality, which is a substitute for human training partner. Socially anxious individuals feel uncomfortable in front of unfamiliar people or when bein...
Young Adult Adult Male Anxiety Humans Artificial Intelligence Female Emotions Robotics Fear Interpersonal Relations
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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.
Coronavirus Infections Borderline Personality Disorder Self-Help Groups Betacoronavirus Suicidal Ideation Stress Disorders, Post-Traumatic Social Media Natural Language Processing Pneumonia, Viral Young Adult Adult Mental Health Male Global Health Middle Aged Anxiety Adolescent Pandemics COVID-19 Female SARS-CoV-2 Humans
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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.
Adaptation, Psychological Caregivers Intellectual Disability Humans Anxiety Robotics
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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...
Humans Female Adult Mental Health Autistic Disorder Bipolar Disorder Male Psycholinguistics Phonetics Social Media Anxiety Borderline Personality Disorder Schizophrenia Deep Learning Blogging Semantics Depression
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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.
Telemedicine Humans Machine Learning Cognitive Behavioral Therapy Depression Female Patient Participation Cohort Studies Adult Patient Health Questionnaire Mental Health Services Male Internet Anxiety
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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...
Humans Neural Networks, Computer Female Data Mining Obsessive-Compulsive Disorder Male Anxiety Child Autoimmune Diseases
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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...
Young Adult Anxiety Humans Bayes Theorem Artificial Intelligence Suicide, Attempted Mood Disorders Adolescent Female Suicidal Ideation Adult Male 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...
Infertility, Male Anxiety Qualitative Research Social Media Humans Natural Language Processing Male
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