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 ...
Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Sexual dysfunction was identified among nearly one-half of adults with systemic vasculitis in a cross-sectional study published in the Journal of Clinical Rheumatology, with older age and female sex ...
Optimal NT-proBNP cut-off values increased progressively with advancing CKD: 694 pg/mL in Stage 3a, 1,452 pg/mL in Stage 3b, 1,562 pg/mL in Stage 4, and 2,121 pg/mL in Stage 5. After adjusting for ...
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 ...
Frailty was associated with higher risk of malnutrition, with an odds ratio of 2.47. This relationship appeared most pronounced among participants with chronic diseases, those with fewer than 20 teeth ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
BACKGROUND: BCR-ABL tyrosine kinase inhibitors (TKIs) have been increasingly linked to pulmonary arterial hypertension (PAH) since 2009, although supporting evidence is limited. Our objective was to ...
Background Invasive coronary function testing (CFT) is indicated in patients with refractory angina with non-obstructed coronary arteries (ANOCA). Despite this, questions remain regarding patient ...
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