Bipolar Disorder

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...

Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning.

Diagnosis, clinical management and research of psychiatric disorders remain subjective - largely gui...

Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders.

Classification models are becoming useful tools for finding patterns in neuroimaging data sets that ...

Does lower urine-specific gravity predict decline in renal function and hypernatremia in older adults exposed to psychotropic medications? An exploratory analysis.

BACKGROUND: Exposure to psychotropic agents, including lithium, antipsychotics and antidepressants, ...

Predictive classification of pediatric bipolar disorder using atlas-based diffusion weighted imaging and support vector machines.

Previous studies have reported abnormalities of white-matter diffusivity in pediatric bipolar disord...

Negative Affect Instability among Individuals with Comorbid Borderline Personality Disorder and Posttraumatic Stress Disorder.

Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective inst...

Screening Internet forum participants for depression symptoms by assembling and enhancing multiple NLP methods.

Depression is a disease that can dramatically lower quality of life. Symptoms of depression can rang...

Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

Seizures below one minute in duration are difficult to assess correctly using seizure detection algo...

Validation of electronic health record phenotyping of bipolar disorder cases and controls.

OBJECTIVE: The study was designed to validate use of electronic health records (EHRs) for diagnosing...

Properties and Performance of Imperfect Dual Neural Network-Based kWTA Networks.

The dual neural network (DNN)-based k -winner-take-all ( k WTA) model is an effective approach for f...

Re: Lateral temperature spread of monopolar, bipolar and ultrasonic instruments for robot-assisted laparoscopic surgery.

Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Feature selection is an important step in many pattern recognition systems aiming to overcome the so...

Machine learning-based predictive modeling of depressive symptoms in Chinese adolescents.

BACKGROUND: The aim is to develop prediction models by lifestyles indicators as well as socioeconomi...

Machine Learning-Driven Prediction of Electrochemical Promotion in the Reverse Water Gas Shift Reaction.

Electrochemical promotion of catalysis (EPOC) provides an effective and versatile strategy to enhanc...

Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study.

INTRODUCTION: Early detection and intervention are crucial for reducing the impacts of depression an...

Differential Effects of Repetitive Transcranial Magnetic Stimulation on Mood and Pain Symptoms in People With Chronic Pain and Major Depressive Disorders-A Review.

BACKGROUND AND OBJECTIVE: Chronic pain and major depressive disorder (MDD) are among the most preval...

Cortical myelin mapping in antipsychotic medication-naïve, first-episode psychosis patients.

While white matter myelin primarily functions to accelerate conduction velocity and has been extensi...

Blood immuno-metabolic biomarker signatures of depression and affective symptoms in young adults.

BACKGROUND: Depression is associated with alterations in immuno-metabolic biomarkers, but it remains...

Physics-Based Inverse Modeling of Battery Degradation with Bayesian Methods.

To further improve lithium-ion batteries, a profound understanding of complex battery processes is c...

CdS/CZTSSe heterojunction synaptic memristor: Enabling efficient handwritten digit recognition.

Owing to the outstanding performance of memristors in brain-like parallel computing and data process...

Deciphering Coulombic Efficiency of Lithium Metal Anodes by Screening Electrolyte Properties.

Coulombic efficiency (CE) is a quantifiable indicator for the reversibility of lithium metal anodes ...