Psychiatry

Bipolar Disorder

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

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Showing 925-945 of 1,252 articles
Leveraging Reddit data for Context-enhanced Synthetic Health Data Generation to Identify Low Self Esteem

Low self-esteem (LoST) is a latent yet critical psychosocial risk factor that predisposes individual...

Machine Learning Analysis of Routine EEG Accurately Predicts Anti-Seizure Medication Response

Despite the availability of more than 20 anti-seizure medications (ASMs), approximately half of pati...

EEG-Based Prediction of rTMS Treatment Response in Depression: Nonlinear Features and Machine Learning with Minimal Electrode

Repetitive transcranial magnetic stimulation (rTMS) is an established intervention for treatment-res...

Mapping heterogeneity in the neuroanatomical correlates of depression

Major depressive disorder (MDD) affects millions worldwide, yet its neurobiological underpinnings re...

Peripheral Metabolic–Redox Signaling as a Core Mechanism of Major Depressive Disorder: Evidence From Deep Metabolomic Phenotyping

Major depressive disorder (MDD) is a neuro-immune, oxidative, and nitrosative stress (NIMETOX) disor...

The Hypothalamic Medial Preoptic Area-Paraventricular Nucleus Circuit Modulates Depressive-Like Behaviors in a Mouse Model of Postpartum Depression.

Estrogen fluctuations have been implicated in various mood disorders, including perimenopausal and p...

Jan 2025 40370500
A Clinical Risk Prediction Model for Depressive Disorders Based on Seven Machine Learning Algorithms.

OBJECTIVE: To develop a clinical risk prediction model for depressive disorders using seven machine ...

Jan 2025 40365467
Predicting Suicidal Ideation Among Youths With Autism Spectrum Disorder: An Advanced Machine Learning Study.

This study aimed to predict suicidal ideation among youth with autism spectrum disorder (ASD) by app...

Jan 2025 40369905
From the -Factor to Cognitive Content: Detection and Discrimination of Psychopathologies Based on Explainable Artificial Intelligence.

Differentiating psychopathologies is challenging due to shared underlying mechanisms, such as the -...

Jan 2025 40421470
A lithium-ion batteries SOH estimation method based on extracting new features during the constant voltage charging stage and improving BPNN.

Existing state of health (SOH) estimation methods for lithium-ion batteries predominantly extract he...

Jan 2025 40408423
Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors.

Depression presents a significant challenge to global mental health, often intertwined with factors ...

Jan 2025 40367215
Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group.

Accurately predicting individual antidepressant treatment response could expedite the lengthy trial-...

Jan 2025 39757979
Semantic abnormalities in schizophrenia and bipolar disorder: A natural language processing approach.

INTRODUCTION: The diagnostic boundaries between schizophrenia and bipolar disorder are controversial...

Jan 2025 39846293
Accuracy and robust early detection of short-circuit faults in single-cell lithium battery

Effective early-stage detection of internal short circuit in lithium-ion batteries is crucial to p...

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