Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …

Background Natural language processing (NLP) is an important traditional field in computer
science, but its application in medical research has faced many challenges. With the …

Background Admissions are generally classified as COVID-19 hospitalizations if the patient
has a positive SARS-CoV-2 polymerase chain reaction (PCR) test. However, because 35 …

The widespread adoption of electronic health record (EHRs) in healthcare systems has
created a vast and continuously growing resource of clinical data and provides new …

Background: Health researchers are increasingly using natural language processing (NLP)
to study various mental health conditions using both social media and electronic health …

The current work aims to identify patients with atopic dermatitis for inclusion in genome-wide
association studies (GWAS). Here we describe a machine learning-based phenotype …

Background Non-racemic amisulpride (SEP-4199) is an 85: 15 ratio of aramisulpride:
esamisulpride with a 5-HT7 and D2 receptor binding profile optimized for the treatment of …

Background Stroke is an important clinical outcome in cardiovascular research. However,
the ascertainment of incident stroke is typically accomplished via time-consuming manual …

Background: Identifying caregiver availability, particularly for patients with dementia or those
with a disability, is critical to informing the appropriate care planning by the health systems …

Background: Inflammation and immune dysregulation have been implicated in the
pathogenesis of pediatric-onset obsessive-compulsive disorder (OCD) and tic disorders …