Abstract Coronary Heart Disease (CHD) is the dominant cause of mortality around the world.
Every year, it causes about 3.9 million deaths in Europe and 1.8 million in the European …

Cardiovascular diseases (CVDs) are one of the leading causes of mortality globally. Early
and accurate diagnosis is crucial for the effective treatment and management of CVDs. In …

The objective of this study is to develop a heart disease diagnosis model with a supervised
machine learning algorithm. To that end, random forest (RF), support vector machine (SVM) …

Heart disease (HD) stands as a major global health challenge, being a predominant cause
of death and demanding intricate and costly detection methods. The widespread impact of …

The heart is a vital organ that is indispensable in ensuring the general health and welfare of
individuals. Cardiovascular diseases (CVD) are the major health concern worldwide and a …

The heart is mainly responsible for supplying oxygen and nutrients and pumping blood to
the entire body. The diseases that affect the heart or capillaries are known as cardiovascular …

CAD (Coronary Artery Diseases) and CHF (Chronic Heart Failure) are two main forms of
heart disease that lead to heart attacks. This disease is increasing the number of casualties …

Objectives: The latest statistics of World Health Organization anticipated that cardiovascular
diseases including Coronary Heart Disease, Heart attack, vascular disease as the biggest …

Unfortunately, the “black box” stigma that has long plagued machine learning has caused
many doctors to remain leery of its applications. A “black box” is a model that is so …

Cardiovascular disease (CVD) has gradually become one of the main causes of harm to the
life and health of residents. Exploring the influencing factors and risk assessment methods of …