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

Systematic analyses show that normative model performance strongly depends on sample size and covariate distributions, larger samples yield more stable fits, while misaligned covariates introduce ...

Results show that it may be beneficial to add longitudinal monitoring of kidney function to the management of patients with MDS.

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

Immunoprecipitation-enhanced blood-based biomarkers are improving early diagnosis of Alzheimer’s disease by enabling more ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Introduction Cerebral palsy (CP) is a non-progressive condition involving movement and muscle tone difficulties due to injury to the developing brain. Most cases arise around birth, but a smaller ...

The Nigeria Labour Congress has threatened a nationwide industrial action over the recurring collapse of the country’s electricity grid, declaring that more than a decade after privatisation, the ...

Template specificity, rather than structure alone, drives comprehensive endometriosis reporting. Endometriosis-specific MRI ...

The risk for major adverse cardiovascular events is a recognized, important complication reported among patients with ANCA-associated vasculitis.