Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of research findings. However, limitations on data sharing often prevent ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

Abstract: An imbalanced dataset is a dataset that has a majority class which is a class has far more example distributions than other classes. It is difficult to deal with unbalanced datasets in ...

Ischemic Stroke (IS) stands as a leading cause of mortality and disability globally, with an anticipated increase in IS-related fatalities by 2030. Despite therapeutic advancements, many patients ...

eDepartment of Health Metric Sciences, School of Medicine, University of Washington, Seattle, WA, USA fDepartment of Applied Mathematics, University of Washington, Seattle, WA, USA ...

This git repository contains data files, Python code, and Python and R Jupyter notebooks which can be used to reproduce figures and analyses from the paper "The Dependence of Bar Frequency on Galaxy ...

LoreplotR is an R package to draw Logistic Regression plots, which compare the prevalence of different categories with a specific feature. This type of visualization was used in Vieira-Silva et al.

Sequencing and phylogenetic classification have become a common task in human and animal diagnostic laboratories. It is routine to sequence pathogens to identify genetic variations of diagnostic ...