Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

There are stark socioeconomic and ethnic inequalities in babies admitted to and who die in neonatal units in England and ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Background Although voting is recognised as a social determinant of health, the association between electoral participation ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Introduction Timely detection, notification and response are critical for mitigating outbreak impact, yet evidence linking timeliness to public health outcomes is limited.Methods We hypothesised that ...

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Chepkwony, I. and Keter, J. (2025) Impact of Library Resource Utilization on Secondary School Students’ Performance in Chemistry at Uasin Gishu County, Kenya. Open Journal of Social Sciences, 13, ...

This study was conducted to assess prediction models for production indexes in batches of growing pigs using performance regressors (period of the year and farm size). A database containing 663 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...