Latest AI and machine learning research in bipolar disorder for healthcare professionals.
Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic bu...
BrainAGE (brain age gap estimation) is a novel morphometric parameter providing a univariate score d...
A relatively large number of studies have investigated the power of structural magnetic resonance im...
OBJECTIVE: Associations between depression, personality traits, and emotions are complex and recipro...
Using MRI to diagnose mental disorders has been a long-term goal. Despite this, the vast majority of...
Saccharomyces cerevisiae (budding yeast) is a powerful eukaryotic model organism ideally suited to h...
Current diagnostic systems mainly focus on symptoms needed to classify patients with a specific ment...
OBJECTIVE: Major depressive disorder (MDD) is a systemic and multifactorial disorder that involves a...
In establishing prognostic models, often aided by machine learning methods, much effort is concentra...
There is a clear need for drug treatments to be selected according to the characteristics of an indi...
BACKGROUND: Major depressive (MD) disorder is a serious psychiatric disorder that can result in suic...
There is huge interest in biosensors as a result of the demand for personalized medicine. In biomole...
Enormous quantities of review documents exist in forums, blogs, twitter accounts, and shopping web s...
From the statistical learning perspective, this paper shows a new direction for the use of growth mi...
Major depressive disorder (MDD) is a critical cause of morbidity and disability with an economic cos...
The ability to predict psychiatric readmission would facilitate the development of interventions to ...
Objective To design and implement an electromyography (EMG)-based controller for a hand robotic assi...
Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers ...
Although medical waste usually accounts for a small fraction of urban municipal waste, its proper di...
BACKGROUND: Growing evidence documents the potential of machine learning for developing brain based ...
Strategies for discovering common molecular events among disparate diseases hold promise for improvi...