Psychiatry

Depression

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

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Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review.

BACKGROUND: Prevention of suicide is a global health priority. Approximately 800,000 individuals die...

Deep learning based prediction of depression and anxiety in patients with type 2 diabetes mellitus using regional electronic health records.

BACKGROUND: Depression and anxiety are prevalent mental health conditions among individuals with typ...

Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis.

: Recent research has focused on exploring the relationships between various factors associated with...

Identification of depressive symptoms in adolescents using machine learning combining childhood and adolescence features.

BACKGROUND: Depressive symptoms in adolescents can significantly affect their daily lives and pose r...

Development and application of a machine learning-based antenatal depression prediction model.

BACKGROUND: Antenatal depression (AND), occurring during pregnancy, is associated with severe outcom...

Guardian-BERT: Early detection of self-injury and suicidal signs with language technologies in electronic health reports.

Mental health disorders, including non-suicidal self-injury (NSSI) and suicidal behavior, represent ...

Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study.

BACKGROUND: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts ...

A machine learning-based model for predicting the risk of cognitive frailty in elderly patients on maintenance hemodialysis.

Elderly patients undergoing maintenance hemodialysis (MHD) face a heightened risk of cognitive frail...

Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.

BACKGROUND: Depression significantly impacts an individual's thoughts, emotions, behaviors, and mood...

Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

INTRODUCTION: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical pr...

Machine learning-based prediction of illness course in major depression: The relevance of risk factors.

BACKGROUND: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poo...

Dynamic Control of Weight-Update Linearity in Magneto-Ionic Synapses.

Multifunctional hardware technologies for neuromorphic computing are essential for replicating the c...

Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder.

BACKGROUND: Anhedonia and suicidal ideation are symptoms of major depressive disorder (MDD) that are...

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning.

Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diag...

Exploring the triglyceride-glucose index's role in depression and cognitive dysfunction: Evidence from NHANES with machine learning support.

BACKGROUND: Depression and cognitive impairments are prevalent among older adults, with evidence sug...

Is Artificial Intelligence the Next Co-Pilot for Primary Care in Diagnosing and Recommending Treatments for Depression?

Depression poses significant challenges to global healthcare systems and impacts the quality of life...

Application of machine learning in depression risk prediction for connective tissue diseases.

This study retrospectively collected clinical data from 480 patients with connective tissue diseases...

Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder.

Depression treatment responses vary widely among individuals. Identifying objective biomarkers with ...

Depression-related innate immune genes and pan-cancer gene analysis and validation.

BACKGROUND: Depression, a prevalent chronic mental disorder, presents complexities and treatment cha...

Enhancing prediction of major depressive disorder onset in adolescents: A machine learning approach.

Major Depressive Disorder (MDD) is a prevalent mental health condition that often begins in adolesce...

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