A slow-developing, broad area of low pressure located over the far northern portion of the Gulf is threatening to bring heavy ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Moderate to severe OSA was associated with increased risk for severe and critical COVID-19, particularly in those with severe intermittent hypoxia.

Onity Group's Jack Cavanagh describes how data science has changed processes in the mortgage industry and what type of ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

An important problem in the field of bioinformatics is to identify interactive effects among profiled variables for outcome prediction. In this paper, a logistic regression model with pairwise ...

This project aims to predict sepsis in patients using advanced machine learning models. The workflow encompasses data preprocessing, feature engineering, class imbalance handling, hyperparameter ...