Machine learning models are used to create and enhance various disease prediction
frameworks. Ensemble learning is a machine learning technique that combines multiple …

In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …

Cardiovascular disease is among the top five fatal diseases that affect lives worldwide.
Therefore, its early prediction and detection are crucial, allowing one to take proper and …

Coronary heart disease is a type of cardiovascular disease characterized by atherosclerotic
plaque, which causes myocardial infarction or sudden cardiac death. Since this sudden …

One of the leading causes of mortality worldwide is cardiovascular disease (CVD).
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …

Aiming to further improving the calculation accuracy of rolling force in the FGC process of
tandem cold rolling, the exit thickness accuracy and exit flatness accuracy of the strip in the …

Heart diseases (HD) in humans are the most common cause of death. In the current global
environment, the early detection of HD is a challenging process. The goal of this work is to …

Cardiovascular disease, also known as heart disease, is on the rise. It is imperative to
anticipate possible illnesses in advance, which is a difficult task that demands precision and …

The accurate prediction of in-hospital mortality in Asian women after ST-Elevation
Myocardial Infarction (STEMI) remains a crucial issue in medical research. Existing models …

Due to their widespread prevalence and impact on quality of life, cardiovascular diseases
(CVD) pose a considerable global health burden. Early detection and intervention can …