Depression

A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network.

Stress inherent in the modern world is considered one of the main causes of Mental Health Disorders ...

Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.

BACKGROUND: Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and ...

A randomised cross over trial examining the linguistic markers of depression and anxiety in symptomatic adults.

Linguistic features within individuals' text data may indicate their mental health. This trial exami...

Beyond Adverse Childhood Experiences: What Should be Considered for Trauma-Focused Adolescent Mental Health Risk Assessments?

To align with emerging policies for adolescents, feasible, accurate, and equitable trauma-focused as...

Generative AI may create a socioeconomic tipping point through labour displacement.

Work is fundamental to societal prosperity and mental health, providing financial security, a sense ...

Machine Learning-Based Classifier for Identifying Inpatients With Schizophrenia at High Risk of Suicide.

AIMS: The suicide rate of individuals with schizophrenia is higher than the general population. In c...

Graph Convolutional Neural Network-Enabled Frontier Molecular Orbital Prediction: A Case Study with Neurotransmitters and Antidepressants.

With the advancement of artificial intelligence-embedded methodologies, their application to predict...

Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach.

Utilizing CBNet to effectively address and combat cyberbullying among university students on social media platforms.

Cyberbullying can profoundly impact individuals' mental health, leading to increased feelings of anx...

Efficacy of swarm-based neural networks in automated depression detection.

As depression becomes a global pandemic, this research paper presents a comprehensive study for depr...

Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models.

BACKGROUND: Major depressive disorder (MDD) is a highly prevalent mental health condition with signi...

Uncertainty aware domain incremental learning for cross domain depression detection.

Deep learning techniques have demonstrated significant promise for detecting Major Depressive Disord...

Predictive Modeling of Comorbid Depression and Anxiety Symptoms Among Prospective University Students: A GIS-Based and Machine Learning Study.

Prospective university students are highly susceptible to mental health issues such as depression an...

Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.

Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising app...

Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.

INTRODUCTION: The role of non-suicidal self-injury (NSSI) in the suicide process of people with majo...

Depression EEG classification based on multi-scale convolutional transformer network.

Depression electroencephalograph (EEG) classification based on machine learning is helpful for the a...

Harnessing technology for hope: a systematic review of digital suicide prevention tools.

This systematic review scrutinizes digital interventions in suicide prevention, telehealth, mobile a...

Comparing traditional natural language processing and large language models for mental health status classification: a multi-model evaluation.

The substantial increase in mental health disorders globally necessitates scalable, accurate tools f...

Assessing psychological resilience and its influencing factors in the MSM population by machine learning.

This study assesses the influence of social support, self-esteem, depression, and education on psych...

Multi-kingdom microbiota analysis reveals bacteria-viral interplay in IBS with depression and anxiety.

Irritable Bowel Syndrome (IBS) is a common gastrointestinal disorder frequently accompanied by psych...

Prediction of suicide using web based voice recordings analyzed by artificial intelligence.

The integration of machine learning (ML) and deep learning models in suicide risk assessment has adv...