In this paper, we propose a hybrid approach for heart disease prediction that uses both the k-
Nearest Neighbour (KNN) and the k-Means algorithms. The proposed hybrid approach has …

Background: Disease diagnosis is a useful phenomenon in healthcare. Machine learning
classification methods would considerably improve the healthcare industry by providing a …

The rapidly expanding discipline of data analysis has an important role to play in the
medical industry. Using this knowledge, we can uncover previously concealed details that …

Heart attack is a life‐threatening condition which is mostly caused due to coronary disease
resulting in death in human beings. Detecting the risk of heart diseases is one of the most …

Heart disease is the primary cause of death nowadays. Treatments of heart disease patients
have been advanced, for example with machine-to-machine (M2M) technology to enable …

The WHO estimates that deaths due to heart disease are the number one cause worldwide,
accounting for around 30% annually taking an estimated 1.5 crores who die due to this …

Heart disease is the leading cause of death in the world over the past 10 years. Researchers
have been using several data mining techniques to help health care professionals in the …

The healthcare industry gathers gigantic volumes of healthcare data, which can be turned
into useful information by using different Data mining techniques. This knowledge can then …

Abstract Machine Learning, a branch of artificial intelligence, has become more accurate
than human medical professionals in predicting the incidence of heart attack or death in …

Heart is one of the essential organs that assume a significant part in the human body.
However, heart can also cause diseases that affect the death. World Health Organization …