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 ...
Today, SUVs and pickup trucks dominate the roads. Many are bigger than ever. And far deadlier, a New York 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 ...
Objectives To quantify out-of-pocket (OOP) costs and catastrophic health expenditure (CHE) among patients hospitalised with ...
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 ...
Abstract: Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning ...
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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