The significant increase in the number of individuals with chronic ailments (including the
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …

Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …

The correct prediction of heart disease can prevent life threats, and incorrect prediction can
prove to be fatal at the same time. In this paper different machine learning algorithms and …

Heart disease is one of the complex diseases and globally many people suffered from this
disease. On time and efficient identification of heart disease plays a key role in healthcare …

Predicting cardiac disease is considered one of the most challenging tasks in the medical
field. It takes a lot of time and effort to figure out what's causing this, especially for doctors …

At present, a multifaceted clinical disease known as heart failure disease can affect a greater
number of people in the world. In the early stages, to evaluate and diagnose the disease of …

In today's world, diabetic retinopathy is a very severe health issue, which is affecting many
humans of different age groups. Due to the high levels of blood sugar, the minuscule blood …

Coronary heart disease (CHD) is a major public health problem affecting a nation's
economic and social development. Risk assessing CHD in a timely manner helps to stop …

Heart disease is the deadliest disease and one of leading causes of death worldwide.
Machine learning is playing an essential role in the medical side. In this paper, ensemble …

Recent advances in machine learning (ML) have shown great promise in detecting heart
disease. However, to ensure the clinical adoption of ML models, they must not only be …