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

Showing 2689-2709 of 5,402 articles

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 PMID: 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 PMID: 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 PMID: 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 PMID: 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 PMID: 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 PMID: 27676221

Anesthetic approaches in carotid body tumor surgery.

OBJECTIVE: Carotid body tumors (CBT) are benign tumors that originate from neural non-chromaffin cel...

Nov 2016 PMID: 28058395

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

Enormous quantities of review documents exist in forums, blogs, twitter accounts, and shopping web s...

Nov 2016 PMID: 27846225

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

fMRI and EEG during mental imagery provide alternative methods of detecting awareness in patients wi...

Nov 2016 PMID: 27855346

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

Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences...

Nov 2016 PMID: 27813129

Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).

BACKGROUND: Key lifestyle-environ risk factors are operative for depression, but it is unclear how r...

Nov 2016 PMID: 27810617

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

BACKGROUND: While group-level functional alterations have been identified in many brain regions of p...

Oct 2016 PMID: 27776563

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 PMID: 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 PMID: 27754482

Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.

An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to iden...

Oct 2016 PMID: 27699911

Artificial neural network EMG classifier for functional hand grasp movements prediction.

Objective To design and implement an electromyography (EMG)-based controller for a hand robotic assi...

Sep 2016 PMID: 27677300

Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and he...

Sep 2016 PMID: 27752278

Browse Categories

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.

Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).

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

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

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

Individual prediction of long-term outcome in adolescents at ultra-high risk for psychosis: Applying machine learning techniques to brain imaging data.

Artificial neural network EMG classifier for functional hand grasp movements prediction.

Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data.

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

Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations.

Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations.

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