Clinical prediction models estimate an individual's risk of a particular health outcome. A
developed model is a consequence of the development dataset and model‐building …

Precision medicine methods (machine learning; ML) can identify which clients with
generalized anxiety disorder (GAD) benefit from mindfulness ecological momentary …

The study evaluated the efficacy of a three-month supplemental feeding intervention in
encouraging weight gain among toddlers. Through linear regression analysis, this study …

Objectives To systematically evaluate the performance of COVID-19 prognostic models and
scores for mortality risk in older populations across three health-care settings: hospitals …

The statistical technique of multiple regression, commonly referred to as “multivariable
regression,” is often used in clinical research to quantify the relationships between multiple …

There are significant challenges to identifying which individuals require intervention
following exposure to trauma, and a need for strategies to identify and provide individuals at …

Background Fewer than half of patients with major depressive disorder (MDD) respond to
psychotherapy. Pre-emptively informing patients of their likelihood of responding could be …

BackgroundOnly a limited number of patients with major depressive disorder (MDD)
respond to a first course of antidepressant medication (ADM). We investigated the feasibility …

Children with severe pneumonia in low-and middle-income countries (LMICs) suffer from
high rates of treatment failure despite appropriate World Health Organization (WHO) …

Background Although research shows that more depressed patients respond to combined
antidepressants (ADM) and psychotherapy than either alone, many patients do not respond …