We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

Burdensome Medicaid renewal processes are a known source of coverage loss among eligible people. In spring 2023, the pause in Medicaid disenrollment resulting from the COVID-19 public health emergency ...

By 2050, construction's carbon footprint may double, jeopardizing climate targets. Transitioning to low-carbon materials is ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate correlation coefficient. If you look at the multiple regression we did, ...

This is a brief description for the experiments of the USSP algorithm project. This project contains all the programs used in Paper "Stable Subsampling under Model Misspecification and Data Shift", ...

The School of Pharmacy, University of Reading, Reading RG6 6AD, U.K. Department of Pharmaceutics and Pharmaceutical Technology, Pharmacy College, Al Andalus University for Medical Sciences, Tartus, AL ...

Abstract: This study focuses on improving the accuracy of Islamic stock price forecasting by developing a hybrid ARIMA-LSTM model integrated with OLS linear regression. Accurate predictions are ...

Objectives To investigate the association of individual patient health with their characteristics, including income deprivation, ethnicity and gender, with the size, quality and staffing of their ...