Latest AI and machine learning research in depression for healthcare professionals.
OBJECTIVE: Individuals with immune-mediated inflammatory disease (IMID) have a higher prevalence of ...
OBJECTIVE: Machine learning algorithms in electronic medical records can classify patients by suicid...
Research indicates that psychopathology in disaster survivors is a function of both experienced trau...
Military personnel have greater psychological stress and are at higher suicide attempt risk compared...
In this article we present a biologically inspired model of activation of memory items in a sequence...
Assessing the well-being of an animal is hindered by the limitations of efficient communication betw...
OBJECTIVES: To investigate the effect of a social robot intervention on depression, loneliness, and ...
BACKGROUND: This study aimed to determine conditional dependence relationships of variables that con...
BACKGROUND: The current study aimed to classify recent and lifetime suicide attempt history among yo...
The present study tested a novel, person-specific method for identifying discrete mood profiles from...
Suicide is the tenth leading cause of death in the United States (US). An early-warning system (EWS)...
BACKGROUND: This study evaluated whether natural language processing (NLP) of psychotherapy note tex...
Patients with major depressive disorder (MDD) show heterogeneous treatment response and highly varia...
Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases....
Because depression has high prevalence and cause enduring disability, it is important to predict ons...
Single nucleotide exact amplicon sequence variants (ASV) of the human gut microbiome were used to ev...
BACKGROUND: Late-life depression (LLD) is associated with poor social functioning. However, previous...
IMPORTANCE: Social and economic costs of depression are exacerbated by prolonged periods spent ident...
INTRODUCTION: Major depressive disorder (MDD) is one of the most common mental disorders worldwide. ...
To improve the prediction of the individual risk of conversion to psychosis in UHR subjects, by cons...
BACKGROUND: In order to reduce unsuccessful treatment trials for depression, neuroimaging and geneti...