The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure
correct classification, which helps cardiologists provide proper treatment to the patient …

Background Various predictive models have been developed for predicting the incidence of
coronary heart disease (CHD), but none of them has had optimal predictive value. Although …

In the modern world, heart disease ranks among the main causes of death. Smoking, high
blood pressure, and cholesterol are the three key risk factors for getting one heart disease …

Coronary heart disease (CHD) is a dangerous condition that cannot be completely cured.
Accurate detection of early coronary artery disease can assist physicians in treating patients …

Cardiovascular disease remains a leading cause of mortality in the contemporary world. Its
association with smoking, elevated blood pressure, and cholesterol levels underscores the …

Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-
based technique is needed to predict heart failure health status early and take necessary …

Diagnosing and forecasting cardiovascular disease represents a pivotal task in medicine,
crucial for accurately categorizing and effectively treating patients under the care of …

Effectiveness in health care is a specific characteristic of each intervention and outcome
evaluated. Especially with regard to surgical interventions, organization, structure and …

Detecting cardiovascular irregularities in a timely manner is crucial for preventing any fatal
risks. This research aims to devise an efficient forecasting algorithm for the timely prognosis …

Background Coronary heart disease (CHD) remains a prominent cause of mortality globally,
necessitating early and accurate detection methods. Traditional diagnostic approaches can …