Using CHARLS data from 2011 to 2020, researchers found that sleep duration and self-reported sleep quality were associated ...
Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
The vehicles on American roads have grown larger — and they are killing thousands more pedestrians, a Times investigation ...
Objectives To assess the outcomes of patients undergoing open abdominal surgery at a National Referral Hospital in Tanzania. Design A prospective, observational, single-arm cohort study. Setting Dar ...
Background In 2024, Ecuador faced its most severe drought in over six decades, severely disrupting hydroelectric power ...
Background Understanding the ‘real-world’ challenges of delivery of pre-exposure prophylaxis (PrEP) among men who have sex ...
Objectives To quantify out-of-pocket (OOP) costs and catastrophic health expenditure (CHE) among patients hospitalised with ...
Abstract: In the last few years, the support vector machine (SVM) method has motivated new interest in kernel regression techniques. Although the SVM has been shown to exhibit excellent generalization ...
Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...
Rural children in China are exposed to higher risks of heat-related mortality than their urban peers, especially during ...
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