Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...
Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for ...
Abstract: Multivariate time series (MTS) classification is essential in industries, such as healthcare and manufacturing, where it helps extract key features from complex data for decision-making and ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The extensive diversity of tea, resulting from varietal traits and manufacturing ...
Check the paper on ArXiv: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification Stochastic gradient-boosted ...
Abstract: Multivariate Time Series Classification (MTSC) has important research significance and practical value. Deep learning models have achieved considerable success in addressing MTSC problems.
The present study introduces a direct approach for classifying blood serum samples as either positive or negative for coronavirus disease (COVID-19) by associating the electrochemical impedance data ...
The following is a summary of “High Density Lipoproteins Associate with Age-Related Macular Degeneration in the All of Us Research Program,” published in the January 2025 issue of American Academy of ...
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