Introduction Critical care patients face varying degrees of physical and psychological stress; in recent decades, the increasing focus on technologies and clinical processes has led to dehumanisation.

Background Effective infection prevention and control (IPC) is fundamental to patient safety in low-resource settings, yet ...

Objectives To determine the prevalence and clinical characteristics associated with polyneuropathy in kidney transplant ...

Introduction Surgical site infection (SSI) remains a significant challenge in surgical care, particularly in low- and ...

Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...

A new analysis of more than a century of laboratory biosafety incidents found that disease outbreaks are closely linked to operational failures, lab settings, and type of personnel involved. The ...

below what can be reached by an l2-penalized linear model or a non-linear multi-layer perceptron model on this dataset.

Learn about econometrics, including how it uses statistical models and data analysis to test economic theories, forecast ...

For countries with large internal migrant populations, reducing the opt-out rate from basic medical insurance among this group remains a major obstacle to achieving universal health coverage (UHC).

Abstract: In the context of evaluating machine learning algorithms for binary classification tasks, predicting passenger survival on the Titanic provides a practical benchmark. The research aims to ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...