Psychiatry

Depression

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

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Showing 1765-1785 of 1,939 articles
Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning.

There is clear scientific evidence that physical activity helps to prevent depression and anxiety. U...

Jan 2024 38479866
The New Emerging Treatment Choice for Major Depressive Disorders: Digital Therapeutics.

The chapter provides an in-depth analysis of digital therapeutics (DTx) as a revolutionary approach ...

Jan 2024 39261436
Navigating the Intersection of Technology and Depression Precision Medicine.

This chapter primarily focuses on the progress in depression precision medicine with specific emphas...

Jan 2024 39261440
[A preliminary prediction model of depression based on whole blood cell count by machine learning method].

This study used machine learning techniques combined with routine blood cell analysis parameters to ...

(1)
Nov 2023 38008578
Neuronetwork Approach in the Early Diagnosis of Depression.

BACKGROUND: Depression is a common mental illness, with around 280 million people suffering from dep...

Oct 2023 37800207
Deep Depression Detection with Resting-State and Cognitive-Task EEG.

Depression is a common mental disorder that negatively affects physical health and personal, social ...

(2)
Jul 2023 38083722
Performance of Artificial Intelligence in Predicting Future Depression Levels.

Depression is a prevalent mental condition that is challenging to diagnose using conventional techni...

(2)
Jun 2023 37387063
Statistical and artificial intelligence techniques to identify risk factors for suicide in children and adolescents.

BACKGROUND: Suicidal Behaviors and Thoughts are a relevant public health issue that includes suicida...

Jan 2023 37787380
Pilot Mental Health, Methodologies, and Findings: A Systematic Review.

Pilots' mental health has received increased attention following Germanwings Flight 9525 in 2015, w...

Sep 2022 36224732
[ST segment morphological classification based on support vector machine multi feature fusion].

ST segment morphology is closely related to cardiovascular disease. It is used not only for characte...

Aug 2022 36008334
Constructive Fuzzy Cognitive Map for Depression Severity Estimation.

Depression is a common and serious medical disorder that negatively affects the mood and the emotion...

May 2022 35612127
Burnout and Depression Detection Using Affective Word List Ratings.

Burnout syndrome and depression are prevalent mental health problems in many societies today. Most e...

May 2022 35575847
Resampling to address inequities in predictive modeling of suicide deaths.

OBJECTIVE: Improve methodology for equitable suicide death prediction when using sensitive predictor...

(2)
Apr 2022 35396246
Major depression disorder diagnosis and analysis based on structural magnetic resonance imaging and deep learning.

Major depression disorder is one of the diseases with the highest rate of disability and morbidity a...

Dec 2021 34997720
Designing Depression Screening Chatbots.

Advances in voice recognition, natural language processing, and artificial intelligence have led to ...

Dec 2021 34920522
Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries.

Suicide attempts are a leading cause of injury globally. Accurate prediction of suicide attempts mig...

Dec 2021 33877265
Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire.

The Self-Rating Depression Scale (SDS) questionnaire is commonly utilized for effective depression p...

(1)
Nov 2021 34891681
Discriminating Heterogeneous Trajectories of Resilience and Depression After Major Life Stressors Using Polygenic Scores.

IMPORTANCE: Major life stressors, such as loss and trauma, increase the risk of depression. It is kn...

Jul 2021 33787853
Semi-supervised random forest regression model based on co-training and grouping with information entropy for evaluation of depression symptoms severity.

Semi-supervised learning has always been a hot topic in machine learning. It uses a large number of ...

May 2021 34198455
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