Psychiatry

Bipolar Disorder

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

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Showing 778-798 of 1,252 articles
Diagnosis of major depressive disorder by combining multimodal information from heart rate dynamics and serum proteomics using machine-learning algorithm.

OBJECTIVE: Major depressive disorder (MDD) is a systemic and multifactorial disorder that involves a...

Feb 2017 28223106
Construction of longitudinal prediction targets using semisupervised learning.

In establishing prognostic models, often aided by machine learning methods, much effort is concentra...

Jan 2017 28067113
Predictive diagnosis of major depression using NMR-based metabolomics and least-squares support vector machine.

BACKGROUND: Major depressive (MD) disorder is a serious psychiatric disorder that can result in suic...

Dec 2016 27931880
Targeted use of growth mixture modeling: a learning perspective.

From the statistical learning perspective, this paper shows a new direction for the use of growth mi...

Nov 2016 27804177
A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder.

Major depressive disorder (MDD) is a critical cause of morbidity and disability with an economic cos...

Oct 2016 27779627
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.

The ability to predict psychiatric readmission would facilitate the development of interventions to ...

Oct 2016 27754482
Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder.

Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers ...

Sep 2016 27622393
Accuracy of automated classification of major depressive disorder as a function of symptom severity.

BACKGROUND: Growing evidence documents the potential of machine learning for developing brain based ...

Jul 2016 27551669
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...

Mar 2016 27012503
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...

Feb 2016 26883067
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...

Oct 2015 26459075
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...

Apr 2015 26904388
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...

Apr 2015 25891366
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...

Dec 2014 25827034
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...

Apr 2014 24733718
Phenotypic Profiles of Suicidal Ideation in Obsessive-Compulsive Disorder: An Interpretable Machine Learning Approach

Suicidal ideation in obsessive-compulsive disorder (OCD) is common and clinically significant, yet m...

Eyewire II - A connectomic resource for resolving cell types and circuits of the mouse retina

Comprehensive wiring diagrams from electron microscopy (EM) are a powerful tool to understand the in...

Cognitive Flexibility and Decision-Making in Anxiety and Depression: Meta-Analytic Evidence Facilitated by Machine-Learning Screening

The ability to adjust to changing environments (cognitive flexibility) and optimal decision-making a...

Advancing diagnosis of bipolar disorder using brain morphometric similarity networks in a graph AI framework

Brain similarity networks (BSNs), extracted from structural magnetic resonance imaging, provide a va...

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