In this study, we used cosine similarity and k-means clustering to construct a system to
predict heart attacks. In order to divide patient data into groups with distinct clinical profiles …

In medical science, heart disease is being considered as fatal problem and in every seconds
most of the people dies due to this problem. In heart disease, typically heart stops blood …

Aiming at providing effect informations efficiently for appropriate users in the integration
systems of enterprise manufacturing who was faced excessive search volume, information …

Abstract Intrusion Detection Systems (IDS) are critical components in a secure network
environment, permitting for initial discovery of malicious actions along with attacks. By …

Predicting heart attacks using machine learning is an important topic. Medical data sets
contain different features, some of which are related to the target group for prediction and …

Artificial intelligence (AI) seeks to replicate human psychological capacities. This is making
an ideal change for healthcare services with the rapid availability of healthcare data and the …

Heart condition refers to any condition affecting heart. There are many sorts, a number of
which are preventable. Unlike disorder, which incorporates problems with the whole …

When it comes to mobility issues and heart disease, a machine learning computer can make
critical predictions. The remainder of the body is the largest and most concentrated organ in …

Cluster analysis is one of the data mining tasks in high-dimensional space [1]. Clustering
algorithms, which are used in cluster analysis, aim to group data points in a manner that …