CVD (cardiovascular disease) is one of the most common causes of death in the world
today. CVD prediction allows health professionals to make an informed decision about their …

Heart Disease (HD) is recognized as the leading cause of worldwide mortality by the World
Health Organization (WHO), resulting in the loss of approximately 17.9 million lives each …

High-dimensional medical data makes prediction a complex and difficult task. This study
aims at modeling predictive models for medical data. Two datasets of medical data are …

Cardiovascular diseases (CVDs) or heart failure (HF) is a vital cause of death worldwide.
Approximately 17.9 million people die each year, and it accounts for 31% of global deaths in …

Objective. Internet of Things (IoT) integrates several technologies where devices learn from
the experience of each other thereby reducing human‐intervened likely errors. Modern …

Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the
world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of …

With technological advancements, smart health monitoring systems are gaining growing
importance and popularity. Today, business trends are changing from physical infrastructure …

Abstract World Health Organization reports that cardiovascular disease is the major cause of
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …

The early, valid prediction of heart problems would minimize life threats and save lives,
while lack of prediction and false diagnosis can be fatal. Addressing a single dataset alone …

Coronary artery disorder is the heart disease that is prevalent across the globe today. It's a
serious issue for the humans as it requires proper diagnosis. Coronary artery disease …