AIMC Topic: Anxiety
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Multidisciplinary characterization of embarrassment through behavioral and acoustic modeling.
Scientific reports
Mar 20, 2025
Embarrassment is a social emotion that shares many characteristics with social anxiety (SA). Most people experience embarrassment in their daily lives, but it is quite overlooked in research. We characterized embarrassment through an interdisciplinar...
Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI).
BMC psychiatry
Mar 18, 2025
BACKGROUND: Accurately diagnosing Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI) shows significant challenges as traditional diagnostic methods fail to meet expectations due to patient hesitance and non-psychiatric h...
Continuous nursing symptom management in cancer chemotherapy patients using deep learning.
Scientific reports
Mar 7, 2025
To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, aiming to enhance their quality of life. A non-randomized controlled trial was conducted from September 2022 to March 2024, involving 144 chemotherapy ...
AI anxiety and knowledge payment: the roles of perceived value and self-efficacy.
BMC psychology
Mar 6, 2025
BACKGROUND: The integration of Artificial Intelligence (AI) into daily life raises significant challenges and uncertainties, notably concerning job security and skill relevance. This has led to the emergence of 'AI anxiety'-a stress response to poten...
Comparison of an AI Chatbot With a Nurse Hotline in Reducing Anxiety and Depression Levels in the General Population: Pilot Randomized Controlled Trial.
JMIR human factors
Mar 6, 2025
BACKGROUND: Artificial intelligence (AI) chatbots have been customized to deliver on-demand support for people with mental health problems. However, the effectiveness of AI chatbots in tackling mental health problems among the general public in Hong ...
Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time.
Scientific reports
Feb 22, 2025
In mental health, accurate symptom assessment and precise measurement of patient conditions are crucial for clinical decision-making and effective treatment planning. Traditional assessment methods can be burdensome, especially for vulnerable populat...
Effectiveness of social robots in improving psychological well-being of hospitalised children: A systematic review and meta-analysis.
Journal of pediatric nursing
Feb 17, 2025
AIM: To evaluate the effectiveness of social robots in reducing pain, stress, and anxiety among hospitalised children.
Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation.
JMIR mental health
Feb 12, 2025
BACKGROUND: The prevalence of adolescent mental health conditions such as depression and anxiety has significantly increased. Despite the potential of machine learning (ML), there is a shortage of models that use real-world data (RWD) to enhance earl...
Using natural language processing to identify patterns associated with depression, anxiety, and stress symptoms during the COVID-19 pandemic.
Journal of affective disorders
Jan 31, 2025
BACKGROUND: Combining data-driven natural language processing techniques with traditional methods using predefined word lists may offer greater insights into the connections between language patterns and depression and anxiety symptoms, particularly ...
Mental health phenotypes of well-controlled HIV in Uganda.
Frontiers in public health
Jan 28, 2025
INTRODUCTION: The phenotypic expression of mental health (MH) conditions among people with HIV (PWH) in Uganda and worldwide are heterogeneous. Accordingly, there has been a shift toward identifying MH phenotypes using data-driven methods capable of ...
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