A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Sampling allows archaeologists to draw conclusions about a site or region using only a fraction of the area. Because excavation is destructive and funding is limited, leaving parts unexcavated can be ...

This issue proposes adding a stratified sampling method to the scikit-sampling library. Stratified sampling is a technique that ensures that specific subgroups (strata) within a population are ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...

A simplified scoring system to predict in-hospital mortality of leukapheresis in patients with leukemia. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

This study validates criteria to identify patients with inflammatory bowel disease (IBD) at risk of worsening disease who may benefit from early treatment with advanced therapies. Objectives: Risk ...

The Journal of Geo-information Science recently published an online article on research led by researcher Lianfa Li and researcher Xiaomei Yang (Institute of Geographic Sciences and Natural Resources ...

The United Kingdom and the United States share many similarities but are distinctly different in the way each nation structures and enforces their respective health and safety legislation, monitoring ...

Conducting a poll isn’t an exact science. The process is susceptible to lots of common problems and baked-in biases — more than just the “margin of error.” By ...

This technical note covers household surveys with a focus on probability sampling, bias, and survey weights. It explains how households are selected in a representative way from a population for a ...