Heart disease, caused by low heart rate, is one of the most significant causes of mortality in
the world today. Therefore, it is critical to monitor heart health by identifying the deviation in …

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 …

Disease diagnosis is the most critical task in the medical diagnosis system. At present, the
biggest challenge is to predict heart disease very quickly; for that limitation, the number of …

The number one reason of deaths worldwide are cardiovascular diseases. An approximate
of 17.9 million lives die because of CVDs every year, which means it is responsible for 31 …

Cloud computing and edge computing have revolutionized deployments by giving virtually
unlimited computing and storage to ensure the scalability and availability of applications …

Worldwide, heart disease is one of the main causes of mortality. Heart disease early
identification and prevention can significantly enhance patient outcomes and save …

Heart disease has become one of the alarming issues of death. It is accountable for fatty
plaques in the arteries. If this fatal condition can be identified early, we can preserve many …

Early identification and precise prediction of heart disease have important implications for
preventative measures and better patient outcomes since cardiovascular disease is a …

Heart disease is the leading cause of mortality worldwide. Early identification and prediction
can play a crucial role in preventing and treating it. Based on patient data, machine learning …

Accepted: 18 October 2022 In the last decade, heart diseases have become the leading
cause of deaths in the world. Various risk factors associated with heart disease include age …