Aim: Two machine learning methods are employed in this study: DT and Naive Bayes. Heart
disease detection and prediction can be improved by combining these two methods. Here …

Heart health is vital for the survival of all living things. Heart-related illnesses require more
precision, accuracy, and correctness in diagnosis and prognosis since even a small mistake …

To classify the heart diseases according to the categorial identification by using the
symptoms and the data of the Patient. Procedures and Materials: To increase the accuracy …

The paper aimed the detecting of the security and privacy issues for the comparison of
Innovative 6LoWPAN header and IP header and finding the accuracy rate to find in advance …

The goal of the article was to utilise a cutting-edge blockchain text bid algorithm to identify
data injection and estimate the accuracy rate in advance. Equipment and Techniques …

Aim: Heart attacks are usually caused due to blockages, partially or completely, of the heart's
veins or arteries that constrict the flow of blood from or to the heart. The primary objective of …

In this paper an innovative microstrip patch antenna is designed to enhance the return loss.
This work presents the comparative analysis of the return loss enhancement between the …

Aim: The cardiac is a vital organ in the human body. Life is entirely dependent on the
functional workings of the heart. Cardiovascular disease refers to diseases of the cardiac …

Aim: The primary aim of this paper is to improve the exactness of the classification of
coronary illness predictions using the help of machine learning algorithms. We will be …

Aim: Coronary illness is one of the main sources of mortality in this current world. A basic test
in the field of clinical information assessment is the expectation of cardiovascular infection …