Psychiatry

Depression

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

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Showing 862-882 of 1,937 articles
Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms.

BACKGROUND: Depression is being increasingly acknowledged as an important risk factor contributing t...

(1)
Jan 2025 39850379
The Goldilocks Zone: Finding the right balance of user and institutional risk for suicide-related generative AI queries.

Generative artificial intelligence (genAI) has potential to improve healthcare by reducing clinician...

Jan 2025 39774367
Classification of female MDD patients with and without suicidal ideation using resting-state functional magnetic resonance imaging and machine learning.

Spontaneous blood oxygen level-dependent signals can be indirectly recorded in different brain regio...

Jan 2025 39845411
A Plasma Proteomics-Based Model for Identifying the Risk of Postpartum Depression Using Machine Learning.

Postpartum depression (PPD) poses significant risks to maternal and infant health, yet proteomic ana...

Jan 2025 39772732
Prediction of late-onset depression in the elderly Korean population using machine learning algorithms.

Late-onset depression (LOD) refers to depression that newly appears in elderly individuals without p...

Jan 2025 39775165
Machine learning algorithms to predict depression in older adults in China: a cross-sectional study.

OBJECTIVE: The 2-fold objective of this research is to investigate machine learning's (ML) predictiv...

Jan 2025 39839428
Analysis of User-Generated Posts on Social Media of Adjuvant Analgesics: A Machine Learning Study.

Antiepileptics and antidepressants are frequently prescribed for chronic pain, but their efficacy a...

(1)
Jan 2025 39744167
Utilising AI technique to identify depression risk among doctoral students.

The phenomenon that the depression risk among doctoral students is higher than that of other groups ...

Dec 2024 39738390
Evaluating of BERT-based and Large Language Mod for Suicide Detection, Prevention, and Risk Assessment: A Systematic Review.

Suicide constitutes a public health issue of major concern. Ongoing progress in the field of artific...

(1)
Dec 2024 39738935
Diagnosis of major depressive disorder using a novel interpretable GCN model based on resting state fMRI.

The diagnosis and analysis of major depressive disorder (MDD) faces some intractable challenges such...

Dec 2024 39730018
Development of a short form of the Geriatric Depression Scale-30 based on item response theory and the RiskSLIM algorithm.

Recently, methods of quickly and accurately screening for geriatric depression have attracted substa...

(2)
Dec 2024 39740365
Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach.

BACKGROUND: Mobile devices for remote monitoring are inevitable tools to support treatment and patie...

Dec 2024 39714272
How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.

Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machi...

Dec 2024 39775769
Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study.

OBJECTIVE: Depression has emerged as a global public health concern with high incidence and disabili...

Dec 2024 39695446
Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness and usability of an AI-assisted tool in providing real-time...

Dec 2024 39705915
Predicting drug craving among ketamine-dependent users through machine learning based on brain structural measures.

BACKGROUND: Craving is a core factor driving drug-seeking and -taking, representing a significant ri...

Dec 2024 39662724
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