Bipolar Disorder

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

1,359 articles

Psychiatry Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 610-630 of 1,359 articles

A bidirectional thermal sensory leaky integrate-and-fire (LIF) neuron model based on bipolar NbO volatile threshold devices with ultra-low operating current.

Brain-like artificial intelligence (AI) will become the main form and important platform in future c...

Nov 2023 37874690

Wife-Mother Role Conflict at the Critical Child-Rearing Stage: A Machine-Learning Approach to Identify What and How Matters in Maternal Depression Symptoms in China.

Maternal depression (MD) was one of the most prevalent psychiatric problems worldwide. However, it e...

Oct 2023 37897552

Volumetric Alterations of the Hippocampal Subfields in Major Depressive Disorder with and without Suicidal Ideation.

Major depressive disorder (MDD) is often accompanied with suicidal ideation (SI). Previous studies s...

Oct 2023 39491110

Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning.

Depressive disorder (DD) has become one of the most common mental diseases, seriously endangering bo...

Oct 2023 37896732

Ensemble Approach to Combining Episode Prediction Models Using Sequential Circadian Rhythm Sensor Data from Mental Health Patients.

Managing mood disorders poses challenges in counseling and drug treatment, owing to limitations. Cou...

Oct 2023 37896636

Development of immersive learning framework (ILF) in achieving the goals of higher education: measuring the impact using a pre-post design.

Emerging technological tools like Artificial Intelligence-based Chatbots, digital educational altern...

Oct 2023 37848670

Memristors based on NdNiO nanocrystals film as sensory neurons for neuromorphic computing.

By mimicking the behavior of the human brain, artificial neural systems offer the possibility to fur...

Oct 2023 37555245

Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model.

OBJECTIVE: This study proposes to identify and validate weighted sensor stream signatures that predi...

Sep 2023 37735439

Predicting Individual Response to a Web-Based Positive Psychology Intervention: A Machine Learning Approach.

Positive psychology interventions (PPIs) are effective at increasing happiness and decreasing depres...

Sep 2023 38854972

Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data.

Depression in adolescence is recognized as an important social and public health issue that interfer...

Aug 2023 37681805

A conceptual framework of cognitive-affective theory of mind: towards a precision identification of mental disorders.

To explore the minds of others, which is traditionally referred to as Theory of Mind (ToM), is perha...

Aug 2023 38609486

Identification of Child Survivors of Sex Trafficking From Electronic Health Records: An Artificial Intelligence Guided Approach.

Survivors of child sex trafficking (SCST) experience high rates of adverse health outcomes. Amidst t...

Aug 2023 37545138

Affine image registration of arterial spin labeling MRI using deep learning networks.

Convolutional neural networks (CNN) have demonstrated good accuracy and speed in spatially registeri...

Aug 2023 37536525

Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study.

BACKGROUND: Mood disorder has emerged as a serious concern for public health; in particular, bipolar...

Jul 2023 37471130

Psychiatry

Bipolar Disorder

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A bidirectional thermal sensory leaky integrate-and-fire (LIF) neuron model based on bipolar NbO volatile threshold devices with ultra-low operating current.

Wife-Mother Role Conflict at the Critical Child-Rearing Stage: A Machine-Learning Approach to Identify What and How Matters in Maternal Depression Symptoms in China.

Volumetric Alterations of the Hippocampal Subfields in Major Depressive Disorder with and without Suicidal Ideation.

Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning.

Ensemble Approach to Combining Episode Prediction Models Using Sequential Circadian Rhythm Sensor Data from Mental Health Patients.

Development of immersive learning framework (ILF) in achieving the goals of higher education: measuring the impact using a pre-post design.

Memristors based on NdNiO nanocrystals film as sensory neurons for neuromorphic computing.

Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model.

Predicting Individual Response to a Web-Based Positive Psychology Intervention: A Machine Learning Approach.

Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data.

A conceptual framework of cognitive-affective theory of mind: towards a precision identification of mental disorders.

Identification of Child Survivors of Sex Trafficking From Electronic Health Records: An Artificial Intelligence Guided Approach.

Affine image registration of arterial spin labeling MRI using deep learning networks.

Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study.

Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques.

Interval-valued bipolar fuzzy line graphs.

Tool-tissue force segmentation and pattern recognition for evaluating neurosurgical performance.

Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region.

Black-box assisted medical decisions: AI power vs. ethical physician care.

A CMOS Temperature Sensor with a Smart Calibrated Inaccuracy of ±0.11 (3σ).

Reorienting Latent Variable Modeling for Supervised Learning.

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