Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

The dual-track analysis confirms that the Jordanian Paradox is influenced by deeply rooted, intersecting institutional ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Significance Compared with adults who smoke cigarettes, adults who vape nicotine are exposed to similar levels of nicotine ...