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 ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
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 ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Background Approximately one in three patients with acute ischemic stroke (AIS) suffer from a premorbid disability prior to ...
Objective To investigate the associations of oxidative balance score (OBS) with all-cause mortality, cardiovascular mortality and cardiovascular disease (CVD) incidence in two large, population-based ...
Background As the threat of child malnutrition increases, the focus remains mostly on short-term consequences. Long-term ...
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 ...