Psychiatry

Depression

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

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Showing 757-777 of 1,937 articles
A depression detection approach leveraging transfer learning with single-channel EEG.

Major depressive disorder (MDD) is a widespread mental disorder that affects health. Many methods co...

May 2025 40314182
Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach.

BACKGROUND: Perinatal depression and anxiety significantly impact maternal and infant health, potent...

(1)
Apr 2025 40306634
Suicide risk prediction for Korean adolescents based on machine learning.

Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at...

Apr 2025 40295697
Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) ...

Apr 2025 40289155
Therapeutic potential of enzymes, neurosteroids, and synthetic steroids in neurodegenerative disorders: A critical review.

Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...

Apr 2025 40288591
Trade-offs between machine learning and deep learning for mental illness detection on social media.

Social media platforms provide valuable insights into mental health trends by capturing user-generat...

(1)
Apr 2025 40281061
Decoding vital variables in predicting different phases of suicide among young adults with childhood sexual abuse: a machine learning approach.

Young adults with childhood sexual abuse (CSA) are an especially vulnerable group to suicide. Suicid...

Apr 2025 40274813
Evaluating the ability of artificial intelligence to predict suicide: A systematic review of reviews.

INTRODUCTION: Suicide remains a critical global public health issue, with approximately 800,000 deat...

Apr 2025 40274119
Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic.

Suicide causes over 700,000 deaths annually worldwide. Mental disorders are closely linked to suicid...

(1)
Apr 2025 40263508
Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach.

Pediatric bipolar disorder (PBD) is a highly debilitating condition, characterized by alternating ep...

Apr 2025 40252878
The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review.

BACKGROUND: Ecological momentary assessment (EMA) captures dynamic processes suitable to the study o...

Apr 2025 40245396
Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach.

BACKGROUND: Aging has become a global trend, and depression, as an accompanying issue, poses a signi...

Apr 2025 40247342
Changes in recreational drug use, reasons for those changes and their consequence during and after the COVID-19 pandemic in the UK.

Changes in drug use in the general population during the COVID-19 pandemic and their long-term conse...

(2)
Apr 2025 40250155
Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach.

BACKGROUND: Crisis hotlines serve as a crucial avenue for the early identification of suicide risk, ...

(1)
Apr 2025 40228243
A method for predicting postpartum depression via an ensemble neural network model.

INTRODUCTION: Postpartum depression (PPD) has numerous adverse impacts on the families of new mother...

Apr 2025 40297040
Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis.

BACKGROUND: Depression affects more than 350 million people globally. Traditional diagnostic methods...

(1)
Apr 2025 40215481
[Not Available].

Introducción: la ideación suicida es el pensamiento de autoeliminación no siempre reportada por los ...

Apr 2025 40238703
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