Clustering-cum-regression based model and performance analysis for early prediction of heart disease
Patient health monitoring is a crucial requirement in today’s world. The researchers work in various domains to efficiently monitor patients’ health status. Due to the COVID-19 pandemic, nowadays, ...
FOUR-DIMENSIONAL (4D) motion analysis of the left ventricle has unveiled six new motion phenogroups for determining ...
This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and ...
Coronary heart disease and heart failure remain major causes of morbidity, mortality, and healthcare burden worldwide. When ...
This systematic literature review and pooled rates analysis investigated the standard of care for patients with heart failure in the US post hospital discharge. Results: There were 31 studies that met ...
Background Premature ventricular complexes (PVCs) are common and can cause concerns in both patients and their caregivers. In ...
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