Anxiety & Stress

Fuzzy-Based Bioengineering System for Predicting and Diagnosing Diseases of the Nervous System Triggered by the Interaction of Industrial Frequency Electromagnetic Fields.

The study aims to enhance the standard of medical care for individuals working in the electric power...

Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning.

There is clear scientific evidence that physical activity helps to prevent depression and anxiety. U...

Identification of biomarker genes from multiple studies for abiotic stress in maize through machine learning.

Abiotic stresses are major limiting factors for maize growth. Therefore, exploration of the mechanis...

Single-cell dissection, hdWGCNA and deep learning reveal the role of oxidatively stressed plasma cells in ulcerative colitis.

Ulcerative colitis (UC) develops as a result of complex interactions between various cell types in t...

[A preliminary prediction model of depression based on whole blood cell count by machine learning method].

This study used machine learning techniques combined with routine blood cell analysis parameters to ...

A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress.

Previous studies have solely focused on establishing Machine Learning (ML) models for automated dete...

Assessment of Driver's Stress using Multimodal Biosignals and Regularized Deep Kernel Learning.

In this work, we classify the stress state of car drivers using multimodal physiological signals and...

Classification of Mental Stress Levels using EEG Connectivity and Convolutional Neural Networks.

Classifying mental stress is important as it helps in identifying the type and severity of stress, w...

Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan.

Intermittent fasting has been practiced for centuries across many cultures globally. Recently many s...

From eczema to anxiety: How artificial intelligence  shapes parental perspectives.

A Transferable Machine Learning Framework for Predicting Transcriptional Responses of Genes Across Species.

Leveraging existing resources in studied species to predict gene functions has the potential to rapi...

Human activity recognition for analyzing stress behavior based on Bi-LSTM.

BACKGROUND: Stress is one of the critical health factors that could be detected by Human Activity Re...

Influence of the stress level on the execution of the Grooved Pegboard Test.

BACKGROUND: The Grooved Pegboard Test (GPT) is a widely adopted test to evaluate manual dexterity. A...

Glucose trajectory prediction by deep learning for personal home care of type 2 diabetes mellitus: modelling and applying.

Glucose management for people with type 2 diabetes mellitus is essential but challenging due to the ...

Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification.

Stress detection and monitoring is an active area of research with important implications for an ind...

Stress Detection from Surface Electromyography using Convolutional Neural Networks.

The study of stress and its implications has been the focus of interest in various fields of science...

Stress Inference from Abdominal Sounds using Machine Learning.

Stress is often considered the 21 century's epidemic, affecting more than a third of the globe's pop...

Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection.

Stress has become a dangerous health problem in our life, especially in student education journey. A...

Suggestions for new organizational-level item pools for the national Stress Check Program from management philosophy and mission statement: A qualitative study using unsupervised learning.

OBJECTIVE: This study aimed to obtain suggestions for new organizational-level item pools that compa...

ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals.

Continuous and multimodal stress detection has been performed recently through wearable devices and ...

The quantification and clinical analysis of depression and anxiety in patients undergoing Da Vinci robot-assisted radical gastrectomy and open radical gastrectomy.

The purpose of paper is to investigate the depression and anxiety as well as independent influential...