Background Mental health conditions pose a major challenge to health care providers and
society at large. The World Health Organization predicts that by 2030, mental health …

Objective Natural language processing (NLP) combined with machine learning (ML)
techniques are increasingly used to process unstructured/free-text patient-reported outcome …

Objective: The authors sought to characterize the association between prior mood disorder
diagnosis and hospital outcomes among individuals admitted with COVID-19 to six Eastern …

Introduction Preventing dementia, or modifying disease course, requires identification of
presymptomatic or minimally symptomatic high-risk individuals. Methods We used …

Background To enable greater use of National Institute of Mental Health Research Domain
Criteria (RDoC) in real-world settings, we applied large language models (LLMs) to estimate …

Genome wide studies are yielding a growing catalogue of common and rare variants that
confer risk for psychopathology. Yet, despite representing unprecedented progress …

Introduction Children are increasingly diagnosed with mental illnesses and self-harm
behaviors. They present frequently to the emergency department (ED) for evaluation. The …

Purpose Since identified in December 2019, the novel coronavirus disease 2019 (COVID-
19) has had a global impact on medical resource use and costs for patients with cancer in …

Background Agitation is a common feature of many neuropsychiatric disorders. Objective
Understanding the prevalence, implications, and characteristics of agitation among …

Background Multidimensional transdiagnostic phenotyping systems are increasingly
important to neuropsychiatric phenotyping, particularly in translational research settings. The …