Psychiatry

Anxiety & Stress

Latest AI and machine learning research in anxiety & stress for healthcare professionals.

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Showing 253-273 of 3,585 articles
Exploring new scientific innovations in combating suicide: a stress detection wristband.

There is a silent pandemic of suicides around the world, with an exponential increase in suicidality...

Machine-Learning-Based Predictive Model for Bothersome Stress Urinary Incontinence Among Parous Women in Southeastern China.

INTRODUCTION AND HYPOTHESIS: Accurate identification of female populations at high risk for urinary ...

The relationship between artificial intelligence anxiety and unemployment anxiety among university students.

BackgroundThe idea that people will lose their jobs because of robots with artificial intelligence i...

Classifying vocal responses of broilers to environmental stressors via artificial neural network.

Detecting early-stage stress in broiler farms is crucial for optimising growth rates and animal well...

Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress.

BACKGROUND: Oxidative stress process plays a key role in aging and cancer; however, currently, there...

A digital phenotyping dataset for impending panic symptoms: a prospective longitudinal study.

This study investigated the utilization of digital phenotypes and machine learning algorithms to pre...

Stress recognition identifying relevant facial action units through explainable artificial intelligence and machine learning.

BACKGROUND AND OBJECTIVE: Facial cues and expressions constitute a component of bodily responses tha...

Assessing operator stress in collaborative robotics: A multimodal approach.

In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufac...

The use of 4D data-independent acquisition-based proteomic analysis and machine learning to reveal potential biomarkers for stress levels.

Research suggests that individuals who experience prolonged exposure to stress may be at higher risk...

Recognizing and explaining driving stress using a Shapley additive explanation model by fusing EEG and behavior signals.

Driving stress is a critical factor leading to road traffic accidents. Despite numerous studies that...

Speech production under stress for machine learning: multimodal dataset of 79 cases and 8 signals.

Early identification of cognitive or physical overload is critical in fields where human decision ma...

QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals.

The most cost-effective data collection method is electroencephalography (EEG), which obtains meanin...

Detecting the impact of diagnostic procedures in Pap-positive women on anxiety using artificial neural networks.

INTRODUCTION: Women who receive a result of an abnormal Papanicolaou (Pap) smear can fail to partici...

The phobic brain: Morphometric features correctly classify individuals with small animal phobia.

Specific phobia represents an anxiety disorder category characterized by intense fear generated by s...

Evaluation of neonatal nurses' anxiety and readiness levels towards the use of artificial intelligence.

OBJECTIVEC: This is a cross-sectional and descriptive study to determine the levels of artificial in...

Haves and have-nots: socioeconomic position improves accuracy of machine learning algorithms for predicting high-impact chronic pain.

Lower socioeconomic position (SEP) is associated with increased risk of developing chronic pain, exp...

Particle formation in response to different protein formulations and containers: Insights from machine learning analysis of particle images.

Subvisible particle count is a biotherapeutics stability indicator widely used by pharmaceutical ind...

An intuitive guidewire control mechanism for robotic intervention.

PURPOSE: Teleoperated Interventional Robotic systems (TIRs) are developed to reduce radiation exposu...

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