Motivation Automated machine learning (AutoML) systems are helpful data science assistants
designed to scan data for novel features, select appropriate supervised learning models …

Several imaging modalities, including T1-weighted structural imaging, diffusion tensor
imaging, and functional MRI can show chronological age related changes. Employing machine …

Background While acute kidney injury (AKI) is a common complication in COVID-19, data
on post-AKI kidney function recovery and the clinical factors associated with poor kidney …

Motivation Novel machine learning and statistical modeling studies rely on standardized
comparisons to existing methods using well-studied benchmark datasets. Few tools exist that …

Over the past decade, there has been an abundance of research on the difference between
age and age predicted using brain features, which is commonly referred to as the “brain age …

Estimating the reproduction number of an emerging infectious disease from an epidemiological
data is becoming more essential in evaluating the current status of an outbreak. However…

Interoception refers to the process by which the nervous system senses, interprets, and
integrates signals originating from within the body, providing a moment-by-moment mapping of …

Motivation Relief is a family of machine learning algorithms that uses nearest-neighbors to
select features whose association with an outcome may be due to epistasis or statistical …

Importance Additional sources of pediatric epidemiological and clinical data are needed to
efficiently study COVID-19 in children and youth and inform infection prevention and clinical …

Genomic variation underlying major depressive disorder (MDD) likely involves the interaction
and regulation of multiple genes in a network. Data-driven co-expression network module …