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 ...
Objective Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
10d
Ramzi Najjar Advances the Law of Alignment with Empirical Evidence on the Path to Systemic Collapse
Ramzi Najjar is a system theorist and the creator of Post-Performance Philosophy (PPP), a conceptual framework examining the relationship between growth, capacity limits, and systemic persistence. His ...
Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...
Abstract: Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide, and early identification is crucial to improve the patient’s prognosis. Traditional diagnostic methods for ...
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