Psychiatry

Depression

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

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Showing 883-903 of 1,937 articles
Machine Learning-Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation.

BACKGROUND: Previous efforts to apply machine learning-based natural language processing to longitud...

Dec 2024 39637380
Enhancing suicidal behavior detection in EHRs: A multi-label NLP framework with transformer models and semantic retrieval-based annotation.

BACKGROUND: Suicide is a leading cause of death worldwide, making early identification of suicidal b...

Dec 2024 39631489
Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study.

BACKGROUND: Older adults with chronic diseases are at higher risk of depressive symptoms than those ...

Dec 2024 39623372
STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data.

: Early diagnosis of depression is crucial for effective treatment and suicide prevention. Tradition...

Nov 2024 39728900
Exploring new scientific innovations in combating suicide: a stress detection wristband.

There is a silent pandemic of suicides around the world, with an exponential increase in suicidality...

Nov 2024 40060284
The efficacy of topological properties of functional brain networks in identifying major depressive disorder.

Major Depressive Disorder (MDD) is a common mental disorder characterized by cognitive impairment, a...

(3)
Nov 2024 39604455
BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis.

The application of deep learning techniques to analyze brain functional magnetic resonance imaging (...

(1)
Nov 2024 39657531
Disentangling the Genetic Landscape of Peripartum Depression: A Multi-Polygenic Machine Learning Approach on an Italian Sample.

BACKGROUND: The genetic determinants of peripartum depression (PPD) are not fully understood. Using ...

Nov 2024 39766785
Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models.

BACKGROUND: Suicidal behaviors, which may lead to death (suicide) or survival (suicide attempt), are...

(1)
Nov 2024 39574020
Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review.

The youth mental health crisis is exacerbated by limited access to care and resources. Mobile health...

(1)
Nov 2024 39616981
An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection.

Major Depressive Disorder (MDD) is an affective disorder that can lead to persistent sadness and a d...

(1)
Nov 2024 39551877
The voice of depression: speech features as biomarkers for major depressive disorder.

BACKGROUND: Psychiatry faces a challenge due to the lack of objective biomarkers, as current assessm...

Nov 2024 39533239
Speech based suicide risk recognition for crisis intervention hotlines using explainable multi-task learning.

BACKGROUND: Crisis Intervention Hotline can effectively reduce suicide risk, but suffer from low con...

Nov 2024 39528146
Machine learning for improved medical device management: A focus on defibrillator performance.

BackgroundPoorly regulated and insufficiently maintained medical devices (MDs) carry high risk on sa...

Nov 2024 39973846
Predicting frailty in older patients with chronic pain using explainable machine learning: A cross-sectional study.

Frailty is common among older adults with chronic pain, and early identification is crucial in preve...

Nov 2024 39521660
Academic-related stressors predict depressive symptoms in graduate students: A machine learning study.

BACKGROUND: Graduate students face higher depression rates worldwide, which were further exacerbated...

(1)
Nov 2024 39521143
Depression diagnosis: EEG-based cognitive biomarkers and machine learning.

Depression is a complex mental illness that has significant effects on people as well as society. Th...

Nov 2024 39515528
Optimizing the Prediction of Depression Remission: A Longitudinal Machine Learning Approach.

Decisions about when to change antidepressant treatment are complex and benefit from accurate predic...

(1)
Oct 2024 39470297
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