Psychiatry

Anxiety & Stress

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

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Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach.

This study proposes a new index to measure the resilience of an individual to stress, based on the c...

From Drug Molecules to Thermoset Shape Memory Polymers: A Machine Learning Approach.

Ultraviolet (UV)-curable thermoset shape memory polymers (TSMPs) with high recovery stress but mild ...

Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application.

The least principal stresses of downhole formations include minimum horizontal stress ( ) and maximu...

HortNet417v1-A Deep-Learning Architecture for the Automatic Detection of Pot-Cultivated Peach Plant Water Stress.

The biggest challenge in the classification of plant water stress conditions is the similar appearan...

Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals.

Examining mental health is crucial for preventing mental illnesses such as depression. This study pr...

Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms.

BACKGROUND: Stress-related mental health problems are one of the most common causes of the burden in...

A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging.

Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symp...

Training method and system for stress management and mental health care of managers based on deep learning.

In recent years, with the rapid development of the economy, in order to stabilize in the market and ...

Deep-Learning-Based Stress Recognition with Spatial-Temporal Facial Information.

In recent times, as interest in stress control has increased, many studies on stress recognition hav...

Three-Dimensional Visualization of the Podocyte Actin Network Using Integrated Membrane Extraction, Electron Microscopy, and Machine Learning.

BACKGROUND: Actin stress fibers are abundant in cultured cells, but little is known about them . In ...

A deep learning approach to identify and segment alpha-smooth muscle actin stress fiber positive cells.

Cardiac fibrosis is a pathological process characterized by excessive tissue deposition, matrix remo...

Identification of stress response proteins through fusion of machine learning models and statistical paradigms.

Proteins are a vital component of cells that perform physiological functions to ensure smooth operat...

Using deep learning to classify pediatric posttraumatic stress disorder at the individual level.

BACKGROUND: Children exposed to natural disasters are vulnerable to developing posttraumatic stress ...

Impact of Endodontic Kinematics on Stress Distribution During Root Canal Treatment: Analysis of Photoelastic Stress.

INTRODUCTION: Structural defects created by endodontic treatment are the most common cause of major ...

Reinforcing bar development length modeling using integrative support vector regression model with response surface method: New approach.

Due to the non-uniformity of bond stress distribution, the full bar development length should be tes...

Image-based deep learning reveals the responses of human motor neurons to stress and VCP-related ALS.

AIMS: Although morphological attributes of cells and their substructures are recognised readouts of ...

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