Psychiatry

Depression

Latest AI and machine learning research in depression for healthcare professionals.

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Comparison of three machine learning models to predict suicidal ideation and depression among Chinese adolescents: A cross-sectional study.

BACKGROUND: Machine learning (ML) algorithms based on various clinicodemographic, psychometric, and ...

Integrating Mental Health Education into French Teaching in University Based on Artificial Intelligence Technology.

In recent years, there has been a lot of news about college students committing suicide. In the univ...

Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning.

Chronic back pain (CBP) is heterogenous and identifying sub-groups could improve clinical decision m...

Suicidal behaviour prediction models using machine learning techniques: A systematic review.

BACKGROUND: Early detection and prediction of suicidal behaviour are key factors in suicide control....

Deep Learning-Based Digital Subtraction Angiography Characteristics in Nursing of Maintenance Hemodialysis Patients.

This study is aimed at exploring the diagnostic value of digital subtraction angiography (DSA) based...

Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text.

Depression is a common mental disease that has a tendency to develop at a younger age. Early detecti...

Comparisons of deep learning and machine learning while using text mining methods to identify suicide attempts of patients with mood disorders.

BACKGROUND: Suicide attempt is one of the most severe consequences for patients with mood disorders....

Controlled Growth of Wafer-Scale Transition Metal Dichalcogenides with a Vertical Composition Gradient for Artificial Synapses with High Linearity.

Artificial synapses are promising for dealing with large amounts of data computing. Great progress h...

Language-agnostic deep learning framework for automatic monitoring of population-level mental health from social networks.

In many countries, mental health issues are among the most serious public health concerns. National ...

Sex differences in rTMS treatment response: A deep learning-based EEG investigation.

INTRODUCTION: The present study aimed to investigate sex differences in response to repetitive trans...

Online music-assisted rehabilitation system for depressed people based on deep learning.

The processing of negative emotions is closely related to the occurrence of depression, and improvin...

Automatic Identification of Depression Using Facial Images with Deep Convolutional Neural Network.

BACKGROUND Depression is a common disease worldwide, with about 280 million people having depression...

EEG based depression recognition using improved graph convolutional neural network.

Depression is a global psychological disease that does serious harm to people. Traditional diagnosti...

DAC Stacking: A Deep Learning Ensemble to Classify Anxiety, Depression, and Their Comorbidity From Reddit Texts.

Depression is the most incapacitating disease worldwide, and it has an alarming comorbidity rate wit...

Deep learning-based integration of genetics with registry data for stratification of schizophrenia and depression.

Currently, psychiatric diagnoses are, in contrast to most other medical fields, based on subjective ...

A Machine Learning Approach for Predicting Non-Suicidal Self-Injury in Young Adults.

Artificial intelligence techniques were explored to assess the ability to anticipate self-harming be...

A novel machine learning approach to shorten depression risk assessment for convenient uses.

BACKGROUND: Depression is a mental disorder affecting many people worldwide which has been exacerbat...

Perception Exploration on Robustness Syndromes With Pre-processing Entities Using Machine Learning Algorithm.

The majority of the current-generation individuals all around the world are dealing with a variety o...

The Design of Psychological Education Intervention System in Universities Based on Deep Learning.

With the rapid development of Chinese society and economy as well as the deepening of the reform of ...

Arabic Speech Analysis for Classification and Prediction of Mental Illness due to Depression Using Deep Learning.

Depression is a global prevalent ailment for possible mental illness or mental disorder globally. Re...

Optimized convolution neural network based multiple eye disease detection.

World health organization (WHO) reports around 2.2 billion people in the world as visually challenge...

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