Using diagnostic testing to determine the presence or absence of a disease is essential in
clinical practice. In many cases, test results are obtained as continuous values and require a …

High-impact weather events, such as severe thunderstorms, tornadoes, and hurricanes,
cause significant disruptions to infrastructure, property loss, and even fatalities. High-impact …

Importance-performance analysis (IPA) is considered a useful tool in examining customer
satisfaction and management strategies. This technique can help tourism stakeholders in …

Atypical pneumonia was first described in 1938, and over time, Mycoplasma, Legionella,
and Chlamydophila were the agents commonly linked with community-associated atypical …

Classifier specific (CS) and classifier agnostic (CA) feature importance methods are widely
used (often interchangeably) by prior studies to derive feature importance ranks from a …

This paper describes the development of convolutional neural networks (CNN), a type of
deep-learning method, to predict next-hour tornado occurrence. Predictors are a storm …

Background/Purpose Acral melanoma is the most common type of melanoma in Asians, and
usually results in a poor prognosis due to late diagnosis. We applied a convolutional neural …

Therapeutic resistance remains the principal problem in acute myeloid leukemia (AML). We
used area under receiver-operating characteristic curves (AUCs) to quantify our ability to …

Microglia-mediated neuroinflammation plays a critical role in the occurrence and
progression of Alzheimer's disease (AD). In recent years, studies have increasingly explored …

Abstract Thunderstorms in the United States cause over 100 deaths and $10 billion (US
dollars) in damage per year, much of which is attributable to straight-line (nontornadic) wind …