AIMC Topic: Anxiety Disorders
Clear Filters Showing 21 to 30 of 77 articles
Unraveling the distinction between depression and anxiety: A machine learning exploration of causal relationships.
Computers in biology and medicine
Apr 8, 2024
OBJECTIVE: Depression and anxiety, prevalent coexisting mood disorders, pose a clinical challenge in accurate differentiation, hindering effective healthcare interventions. This research addressed this gap by employing a streamlined Symptom Checklist...
Personality traits as predictors of depression across the lifespan.
Journal of affective disorders
Mar 26, 2024
BACKGROUND: Depression is a major public health concern. A barrier for research has been the heterogeneous nature of depression, complicated by the categorical diagnosis of depression which is based on a cluster of symptoms, each with its own etiolog...
Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety.
PloS one
Nov 27, 2023
In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining early client feedback can allow for rapidly adapted treatment delivery and improve outcomes. This study seeks to develop a state-of-the-art deep-learn...
Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.
Journal of medical Internet research
Nov 8, 2023
BACKGROUND: Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, tim...
Identifying self-disclosed anxiety on Twitter: A natural language processing approach.
Psychiatry research
Nov 3, 2023
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.
Virtual and Augmented Simulations in Mental Health.
Current psychiatry reports
Aug 25, 2023
PURPOSE OF REVIEW: This examines significant trends and developments in the utilization of virtual reality (VR) and augmented reality (AR) simulations in the field of mental health and education. The objective is to gain insights into the emerging ap...
Analysis of therapeutic effect of subliminal cognition combined with hypnotherapy on anxiety disorder via neural network.
Biotechnology & genetic engineering reviews
Apr 27, 2023
Hypnotherapy combined with cognitive therapy is an effective way to intervene anxiety problems, which also responds to the call that using hypnotherapy to treat somatic disorders should become a trend in the future. This paper constructs an evaluatio...
Leveraging deep learning models to understand the daily experience of anxiety in teenagers over the course of a year.
Journal of affective disorders
Feb 27, 2023
INTRODUCTION: Anxiety disorders are a prevalent and severe problem that are often developed early in life and can disrupt the daily lives of affected individuals for many years into adulthood. Given the persistent negative aspects of anxiety, accurat...
Uncovering psychiatric phenotypes using unsupervised machine learning: A data-driven symptoms approach.
European psychiatry : the journal of the Association of European Psychiatrists
Feb 21, 2023
BACKGROUND: Current categorical classification systems of psychiatric diagnoses lead to heterogeneity of symptoms within disorders and common co-occurrence of disorders. We investigated the heterogeneous and overlapping nature of symptom endorsement ...
A relational agent for treating substance use in adults: Protocol for a randomized controlled trial with a psychoeducational comparator.
Contemporary clinical trials
Feb 20, 2023
BACKGROUND: Substance use disorders (SUDs) are prevalent and compromise health and wellbeing. Scalable solutions, such as digital therapeutics, may offer a population-based strategy for addressing SUDs. Two formative studies supported the feasibility...
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