AIMC Topic: Anxiety
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The effect of an interactive robot on children's post-operative anxiety, mobilization, and parents' satisfaction; randomized controlled study.
Journal of pediatric nursing
Nov 24, 2022
PURPOSE: To evaluate the effect of an interactive robot on Turkish children's post-operative anxiety, mobilization, and parents' satisfaction related to post-operative care.
An Intelligent Mental Health Identification Method for College Students: A Mixed-Method Study.
International journal of environmental research and public health
Nov 14, 2022
PURPOSE: Mental health assessments that combine patients' facial expressions and behaviors have been proven effective, but screening large-scale student populations for mental health problems is time-consuming and labor-intensive. This study aims to ...
Computer assisted identification of stress, anxiety, depression (SAD) in students: A state-of-the-art review.
Medical engineering & physics
Oct 4, 2022
Stress, depression, and anxiety are a person's physiological states that emerge from various body features such as speech, body language, eye contact, facial expression, etc. Physiological emotion is a part of human life and is associated with psycho...
Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Oct 4, 2022
BACKGROUND: In recent years, more and more people suffer from depression and anxiety. These symptoms are hard to be spotted and can be very dangerous. Currently, the Self-Reported Anxiety Scale (SAS) and Self-Reported Depression Scale (SDS) are commo...
Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features.
Scientific reports
Aug 17, 2022
Social anxiety is a symptom widely prevalent among young adults, and when present in excess, can lead to maladaptive patterns of social behavior. Recent approaches that incorporate brain functional radiomic features and machine learning have shown po...
A Case Study of Multiple Maintenance Efficacy in Gynaecological Surgery Assessed by Deep Learning.
Computational and mathematical methods in medicine
Aug 8, 2022
Deep learning is a new learning concept and a highly effective way of learning, which is still being explored in the field of nursing education. This paper analyses the effectiveness of interventions in perioperative gynaecological care using humanis...
DAC Stacking: A Deep Learning Ensemble to Classify Anxiety, Depression, and Their Comorbidity From Reddit Texts.
IEEE journal of biomedical and health informatics
Jul 1, 2022
Depression is the most incapacitating disease worldwide, and it has an alarming comorbidity rate with anxiety. The use of social networks to expose personal difficulties has enabled works on the automatic identification of specific mental conditions,...
Polysomnographic identification of anxiety and depression using deep learning.
Journal of psychiatric research
Mar 24, 2022
Anxiety and depression are common psychiatric conditions associated with significant morbidity and healthcare costs. Sleep is an evolutionarily conserved health state. Anxiety and depression have a bidirectional relationship with sleep. This study re...
Mood State Detection in Handwritten Tasks Using PCA-mFCBF and Automated Machine Learning.
Sensors (Basel, Switzerland)
Feb 21, 2022
In this research, we analyse data obtained from sensors when a user handwrites or draws on a tablet to detect whether the user is in a specific mood state. First, we calculated the features based on the temporal, kinematic, statistical, spectral and ...
Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments.
Behaviour research and therapy
Dec 11, 2021
Smartphones are capable of passively capturing persons' social interactions, movement patterns, physiological activation, and physical environment. Nevertheless, little research has examined whether momentary anxiety symptoms can be accurately assess...
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