Psychiatry

Bipolar Disorder

Latest AI and machine learning research in bipolar disorder for healthcare professionals.

830 articles
Stay Ahead - Weekly Bipolar Disorder research updates
Subscribe
Browse Specialties
Showing 169-189 of 830 articles
A novel ECG-based approach for classifying psychiatric disorders: Leveraging wavelet scattering networks.

Individuals with neuropsychiatric disorders experience both physical and mental difficulties, hinder...

RNA Editing Signatures Powered by Artificial Intelligence: A New Frontier in Differentiating Schizophrenia, Bipolar, and Schizoaffective Disorders.

Mental health disorders are devastating illnesses, often misdiagnosed due to overlapping clinical sy...

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 ...

Reevaluating feature importances in machine learning models for schizophrenia and bipolar disorder: The need for true associations.

Skorobogatov et al. developed supervised machine learning models to predict diagnoses and illness st...

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...

The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach.

PURPOSE: The goal of the study was to identify the most important influences on professional healthc...

AI-Aided Gait Analysis with a Wearable Device Featuring a Hydrogel Sensor.

Wearable devices have revolutionized real-time health monitoring, yet challenges persist in enhancin...

Development of machine learning models for predicting depressive symptoms in knee osteoarthritis patients.

Knee osteoarthritis (KOA) combined with depressive symptoms is prevalent and leads to poor outcomes ...

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...

Bipolar Fuzzy Pseudo-UP Ideal Of Pseudo-UP Algebra.

In this paper, we apply the concept of bipolar fuzzy sets to pseudo-UP ideals in pseudo-UP algebras....

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...

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...

Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis.

The global prevalence of Major Depressive Disorder (MDD) is increasing at an alarming rate, undersco...

Browse Specialties