Latest AI and machine learning research in depression for healthcare professionals.
INTRODUCTION: Post-stroke depression is one of the important complications of stroke and affects pat...
OBJECTIVES: To identify the factors associated with post-stroke depression (PSD) and develop a machi...
OBJECTIVE: Patients with cancer have a high risk of suicide. However, evidence-based preventive meas...
OBJECTIVES: To construct vocal recognition classification models using 6 machine learning algorithms...
When people think of a utopian future, what do they imagine? We examined (a) whether people's self-g...
OBJECTIVES: The advantages of preoperative three-dimensional (3D) image simulations, which require e...
This study aims to construct a machine learning model to predict depression symptoms in the elderly...
Major depressive disorder (MDD) is a psychiatric disorder characterized by persistent lethargy that ...
INTRODUCTION: Dissociation is associated with clinical severity, increased risk of suicide and self-...
OBJECTIVE: Current clinical evaluation may tend to lack precision in detecting depression in Parkins...
BACKGROUND: Literature on how to translate information extracted from clinical progress notes into n...
Negative emotions such as loneliness, depression, and anxiety (LDA) are prevalent and pose significa...
INTRODUCTION: The impact of personalization on user engagement and adherence in digital mental healt...
BACKGROUND: Depression is major global public health problems among university students. Currently, ...
CONTEXT AND BACKGROUND: Depression has affected millions of people worldwide and has become one of t...
Differentiating psychopathologies is challenging due to shared underlying mechanisms, such as the -...
Estrogen fluctuations have been implicated in various mood disorders, including perimenopausal and p...
This study aimed to predict suicidal ideation among youth with autism spectrum disorder (ASD) by app...
Depression presents a significant challenge to global mental health, often intertwined with factors ...
BACKGROUND: In recent years, developments have been made in various research domains, from treatment...
Placebo effect represents a serious confounder for the assessment of treatment effect to the extent ...