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

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Objectives This study aimed to determine whether certain lifestyle factors, specifically alcohol consumption, smoking, physical activity, sleep duration and sleep quality, are associated with an ...

Background As the threat of child malnutrition increases, the focus remains mostly on short-term consequences. Long-term ...

Objective Findings of previous studies on associations between dairy consumption and metabolic health status were inconsistent. This study aimed to assess the link between consumption of dairy foods ...

Introduction The Netherlands implemented a supermarket tobacco sales ban on 1 July 2024. This study aimed to evaluate supermarkets’ compliance with the ban and potential unintended impacts on tobacco ...

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 ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Children conceived through medically assisted reproduction have higher out-of-hospital healthcare utilization including mental health medications.

Rationale Residual sleep apnoea—defined by an Apnoea-Hypopnoea Index ≥10 events/hour—affects~20% of obstructive sleep apnoea patients treated with positive airway pressure therapy and poses a major ...