Latest AI and machine learning research in depression for healthcare professionals.
Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to ...
To achieve personalized medicine, an individualized treatment strategy assigning treatment based on ...
BACKGROUND: Identification of individuals at increased risk for suicide is an important public healt...
This paper reviews significant contributions to the evidence for the use of quantitative electroence...
The cognitive and behavioral interventions can be as efficacious as antidepressant medications and m...
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhoo...
Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However...
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts...
For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has...
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) predi...
BACKGROUND: Depression causes significant physical and psychosocial morbidity. Predicting persistenc...
We developed algorithms to identify pregnant women with suicidal behavior using information extracte...
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severi...
Suicide has been considered an important public health issue for years and is one of the main cause...
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs...
BACKGROUND: Machine learning techniques offer promise to improve suicide risk prediction. In the cur...
BACKGROUND: Some Internet interventions are regarded as effective treatments for adult depression, b...
Many variables have been linked to different course trajectories of depression. These findings, howe...
Suicide takes the lives of nearly a million people each year and it is a tremendous economic burden ...
BACKGROUND: Low adherence to recommended treatments is a multifactorial problem for patients in reha...
Beck's insight-that beliefs about one's self, future, and environment shape behavior-transformed dep...