Predicting heart disease is regarded as one of the most difficult challenges in the health-
care profession. To predict cardiac disease, researchers employed a variety of algorithms …

One of the most challenging tasks for clinicians is detecting symptoms of cardiovascular
disease as earlier as possible. Many individuals worldwide die each year from …

The history of data stored can be used to forecast potential patterns and help companies
make competitive decisions to increase their success and benefits. Many analysts look at …

Recently, data mining and machine learning techniques have found widespread use in the
field of healthcare. The objective of this study is to develop an automated method for …

In human existence, healthcare is an inevitable obligation. Heart disease is a broad term
that encompasses a variety of illnesses that affect the heart & veins. The early methods for …

Diagnosis of cardiac disease requires being more accurate, precise, and reliable. The
number of death cases due to cardiac attacks is increasing exponentially day by day. Thus …

Early detection of heart disease is exceptionally critical to saving the lives of human beings.
Heart attack is one of the primary causes of high death rates throughout the world, due to the …

Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) statement and 37
relevant studies. The literature search used search engines including PubMed, Hindawi …

Heart disease is a leading global cause of mortality, demanding early detection for effective
and timely medical intervention. In this study, we propose a machine learning-based model …

Heart is one of the most important organs in Human's body. In life, some changes may
happen that may bring various diseases like, blood pressure, sugar, etc. Similarly, heart …