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

Showing 3445-3465 of 5,977 articles

A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders.

PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma...

Feb 2017 28269880

Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning.

OBJECTIVES: One of the major challenges facing psychiatry is how to incorporate biological measures ...

Feb 2017 28635541

Improving therapeutic outcomes in autism spectrum disorders: Enhancing social communication and sensory processing through the use of interactive robots.

For children with autism spectrum disorders (ASDs), social robots are increasingly utilized as thera...

Feb 2017 28213292

Deep dreaming, aberrant salience and psychosis: Connecting the dots by artificial neural networks.

Why some individuals, when presented with unstructured sensory inputs, develop altered perceptions n...

Jan 2017 28130003

Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

OBJECTIVES: We sought to use natural language processing to develop a suite of language models to ca...

Jan 2017 28096249

Effectiveness of Electroconvulsive Therapy Augmentation on Clozapine-Resistant Schizophrenia.

OBJECTIVE: This retrospective case series study of the effectiveness of electroconvulsive therapy (E...

Dec 2016 28096876

Cortico-Striatal-Thalamic Loop Circuits of the Salience Network: A Central Pathway in Psychiatric Disease and Treatment.

The salience network (SN) plays a central role in cognitive control by integrating sensory input to ...

Dec 2016 28082874

A Novel Sensitive Method to Measure Catechol-O-Methyltransferase Activity Unravels the Presence of This Activity in Extracellular Vesicles Released by Rat Hepatocytes.

There is a clear need for drug treatments to be selected according to the characteristics of an indi...

Dec 2016 28066248

Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.

The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based survei...

Dec 2016 28002438

Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia.

Neuroimaging-based models contribute to increasing our understanding of schizophrenia pathophysiolog...

Dec 2016 27941946

Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

BACKGROUND: Depression is commonly comorbid with many other somatic diseases and symptoms. Identific...

Dec 2016 27935995

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

Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis.

Recent studies have reported an association between psychopathology and subsequent clinical and func...

Dec 2016 27923525

MoSe Nanolabels for Electrochemical Immunoassays.

There is huge interest in biosensors as a result of the demand for personalized medicine. In biomole...

Nov 2016 28193031

Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach.

Early childhood anxiety disorders are common, impairing, and predictive of anxiety and mood disorder...

Nov 2016 27880812

Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.

Traumatic brain injury (TBI) may adversely affect a person's thinking, memory, personality, and beha...

Nov 2016 27676221

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A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders.

Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning.

Improving therapeutic outcomes in autism spectrum disorders: Enhancing social communication and sensory processing through the use of interactive robots.

Deep dreaming, aberrant salience and psychosis: Connecting the dots by artificial neural networks.

Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

Effectiveness of Electroconvulsive Therapy Augmentation on Clozapine-Resistant Schizophrenia.

Cortico-Striatal-Thalamic Loop Circuits of the Salience Network: A Central Pathway in Psychiatric Disease and Treatment.

A Novel Sensitive Method to Measure Catechol-O-Methyltransferase Activity Unravels the Presence of This Activity in Extracellular Vesicles Released by Rat Hepatocytes.

Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.

Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia.

Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

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

Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis.

MoSe Nanolabels for Electrochemical Immunoassays.

Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach.

Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.

Anesthetic approaches in carotid body tumor surgery.

Determining Fuzzy Membership for Sentiment Classification: A Three-Layer Sentiment Propagation Model.

EEG and fMRI agree: Mental arithmetic is the easiest form of imagery to detect.

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial.

Precuneus functioning differentiates first-episode psychosis patients during the fantasy movie Alice in Wonderland.

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