Psychiatry

Depression

Latest AI and machine learning research in depression for healthcare professionals.

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Reflections of Low-Income, Second-Generation Latinas About Experiences in Depression Therapy.

Depression is higher among second-generation Latinas compared with immigrants, but mental health tre...

(1)
Jan 2016 26825479
Cross-trial prediction of treatment outcome in depression: a machine learning approach.

BACKGROUND: Antidepressant treatment efficacy is low, but might be improved by matching patients to ...

(2)
Jan 2016 26803397
Studying depression using imaging and machine learning methods.

Depression is a complex clinical entity that can pose challenges for clinicians regarding both accur...

(2)
Nov 2015 26759786
Analyzing depression tendency of web posts using an event-driven depression tendency warning model.

OBJECTIVE: The Internet has become a platform to express individual moods/feelings of daily life, wh...

Nov 2015 26616420
MDD-SOH: exploiting maximal dependence decomposition to identify S-sulfenylation sites with substrate motifs.

UNLABELLED: S-sulfenylation (S-sulphenylation, or sulfenic acid), the covalent attachment of S-hydro...

Sep 2015 26411868
Antidepressant use in late gestation and risk of postpartum haemorrhage: a retrospective cohort study.

OBJECTIVE: To investigate the association between antidepressant use in late gestation and postpartu...

(1)
Sep 2015 26374444
Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.

In continuous attractor neural networks (CANNs), spatially continuous information such as orientatio...

Sep 2015 26465541
Analysis of NTSB Aircraft-Assisted Pilot Suicides: 1982-2014.

On March 24, 2015, a Germanwings aircraft crashed in the Alps. The suicidal copilot killed himself a...

Aug 2015 27094027
A Controlled Trial Using Natural Language Processing to Examine the Language of Suicidal Adolescents in the Emergency Department.

What adolescents say when they think about or attempt suicide influences the medical care they recei...

Aug 2015 26252868
Changes in depression stigma after the Germanwings crash - Findings from German population surveys.

BACKGROUND: Media coverage of the Germanwings plane crash intensely focused on the co-pilot's mental...

(1)
Jul 2015 26254618
Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression.

Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neur...

(1)
Jul 2015 26187550
Effects on Symptoms of Agitation and Depression in Persons With Dementia Participating in Robot-Assisted Activity: A Cluster-Randomized Controlled Trial.

OBJECTIVES: To examine effects on symptoms of agitation and depression in nursing home residents wit...

Jun 2015 26096582
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...

(1)
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
A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning.

BACKGROUND: Postpartum depression (PPD) is a disorder that often goes undiagnosed. The development o...

(2)
Mar 2015 25734829
Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.

OBJECTIVE: Currently, depression diagnosis relies primarily on behavioral symptoms and signs, and tr...

Feb 2015 25689482
Spontaneous motion on two-dimensional continuous attractors.

Attractor models are simplified models used to describe the dynamics of firing rate profiles of a po...

Jan 2015 25602773
Using support vector machines to identify protein phosphorylation sites in viruses.

Phosphorylation of viral proteins plays important roles in enhancing replication and inhibition of n...

Dec 2014 25569881
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...

(3)
Apr 2014 24733718
One Evaluation Is Enough: Inversion-Free Image Editing with Trajectory Correction

Real-image editing commonly relies on inversion and iterative sampling, while efficient one-step edi...

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