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Psychiatry Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 841-861 of 1,937 articles

Explainable machine learning model for assessing health status in patients with comorbid coronary heart disease and depression: Development and validation study.

BACKGROUND: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting...

(1)

Jan 2025 39874615

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...

Jan 2025 39847414

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...

Jan 2025 39889672

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...

(2)

Jan 2025 39844104

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...

Jan 2025 40005305

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

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

(1)

Jan 2025 39848469

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 ...

Jan 2025 39967190

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...

(1)

Jan 2025 39832365

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...

Jan 2025 39833314

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

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

(2)

Jan 2025 39864955

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...

Jan 2025 39825893

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...

Jan 2025 39818338

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

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

(3)

Jan 2025 39804804

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...

Jan 2025 39806393

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...

Jan 2025 39860780

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...

Jan 2025 39805501

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 ...

(1)

Jan 2025 39799114

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...

(1)

Jan 2025 39799210

Jan 2025 39823922

Psychiatry

Browse Categories

Explainable machine learning model for assessing health status in patients with comorbid coronary heart disease and depression: Development and validation study.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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