Using CHARLS data from 2011 to 2020, researchers found that sleep duration and self-reported sleep quality were associated ...

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: 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 ...

Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...

Objective To investigate the association between attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic risk profile at the time of type 2 diabetes (T2D) diagnosis and examine ...

In an era of rapid development of web-based technology, online medical platforms in China hold great promise in facilitating PEP provision and delivery by addressing problems such as accessibility, ...

This is the official code for our NeurIPS 2024 publication: RMLR: Extending Multinomial Logistic Regression into General Geometries.