Psychiatry

Depression

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

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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...

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...

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...

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...

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...

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, ...

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...

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...

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

Enhancing student-centered walking environments on university campuses through street view imagery and machine learning.

Campus walking environments significantly influence college students' daily lives and shape their su...

Greenspace and depression incidence in the US-based nationwide Nurses' Health Study II: A deep learning analysis of street-view imagery.

BACKGROUND: Greenspace exposure is associated with lower depression risk. However, most studies have...

Direct-acting antivirals (DAA) positively affect depression and cognitive function in patients with chronic hepatitis C.

The aim of the study was to determine how depression and cognitive dysfunction in patients with chro...

Estimating depression severity in narrative clinical notes using large language models.

BACKGROUND: Depression treatment guidelines emphasize measurement-based care using patient-reported ...

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