Latest AI and machine learning research in depression for healthcare professionals.
Depression is higher among second-generation Latinas compared with immigrants, but mental health tre...
BACKGROUND: Antidepressant treatment efficacy is low, but might be improved by matching patients to ...
BACKGROUND: Exposure to psychotropic agents, including lithium, antipsychotics and antidepressants, ...
Depression is a complex clinical entity that can pose challenges for clinicians regarding both accur...
OBJECTIVE: The Internet has become a platform to express individual moods/feelings of daily life, wh...
UNLABELLED: S-sulfenylation (S-sulphenylation, or sulfenic acid), the covalent attachment of S-hydro...
OBJECTIVE: To investigate the association between antidepressant use in late gestation and postpartu...
In continuous attractor neural networks (CANNs), spatially continuous information such as orientatio...
On March 24, 2015, a Germanwings aircraft crashed in the Alps. The suicidal copilot killed himself a...
What adolescents say when they think about or attempt suicide influences the medical care they recei...
BACKGROUND: Media coverage of the Germanwings plane crash intensely focused on the co-pilot's mental...
Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neur...
OBJECTIVES: To examine effects on symptoms of agitation and depression in nursing home residents wit...
Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective inst...
Depression is a disease that can dramatically lower quality of life. Symptoms of depression can rang...
BACKGROUND: Postpartum depression (PPD) is a disorder that often goes undiagnosed. The development o...
OBJECTIVE: Currently, depression diagnosis relies primarily on behavioral symptoms and signs, and tr...
Attractor models are simplified models used to describe the dynamics of firing rate profiles of a po...
Phosphorylation of viral proteins plays important roles in enhancing replication and inhibition of n...
Feature selection is an important step in many pattern recognition systems aiming to overcome the so...
Real-image editing commonly relies on inversion and iterative sampling, while efficient one-step edi...