Importance Great interest exists in identifying methods to predict neuropsychiatric disease
states and treatment outcomes from high-dimensional data, including neuroimaging and …

The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …

For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …

Objectives Mental disorders and suicidal thoughts and behaviors (STB) are common and
burdensome among college students. Although available evidence suggests that only a …

Tactics of Scientific Research (Sidman, 1960) provides a visionary treatise on single‐case
designs, their scientific underpinnings, and their critical role in understanding behavior …

Background Multiple treatments are effective for major depressive disorder (MDD), but the
outcomes of each treatment vary broadly among individuals. Accurate prediction of …

Objectives The college years are a developmentally crucial period and a peak age for the
onset of mental disorders. Methods The World Health Organization World Mental Health …

Objective: This study aims at developing a treatment selection algorithm using a
combination of machine learning and statistical inference to recommend patients' optimal …

Objective: Depression is a highly common mental disorder and a major cause of disability
worldwide. Several psychological interventions are available, but there is a lack of evidence …

Personalization of psychological therapies has always been used by clinicians and
describes all efforts to select, adjust, or modify a treatment for the individual to improve …