Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …

Investigating the mechanisms through which psychotherapy brings about desired change
can inform efforts to improve therapies. We applied meta-analytic structural equation …

Importance The application of precision medicine principles for the treatment of depressive
disorders in adolescents requires an examination of the variables associated with …

Background Estimating heterogeneous treatment effects (HTEs) in randomized controlled
trials (RCTs) has received substantial attention recently. This has led to the development of …

To review the recent progress of machine learning for the early diagnosis of depression
(major depressive disorder). The source of data was 32 original studies in the Web of …

摘要抑郁症患者疾病意识的不足以及早期筛查方法的缺乏导致患者在被诊断时大多已发展至重
性抑郁障碍. 为改善现状, 近年来机器学习被逐渐应用到抑郁症的早期预测, 早期识别 …

Depression and anxiety are the most common mental illnesses in adolescents. Rural
schools are well-positioned to narrow the access gap confronting rural adolescents …

Critical care trials evaluate the effect of interventions in patients with diverse personal
histories and causes of illness, often under the umbrella of heterogeneous clinical …

We consider a simulation optimization problem for context-dependent decision making.
Under a Gaussian mixture model-based Bayesian framework, we develop a dynamic …

Abstract Background Using the Mood and Feelings Questionnaire (MFQ) to differentiate
between depression severity levels remains unexplored. We explored the discriminative …