In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …

The Internet of Things (IoTs)-based remote healthcare applications provide fast and
preventative medical services to the patients at risk. However, predicting heart disease is a …

Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …

The present study examines the role of feature selection methods in optimizing machine
learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with …

Abstract Coronary Heart Disease (CHD) is a life-threatening public health problem. Many
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …

Background This study used machine learning techniques to evaluate cardiovascular
disease risk factors (CVD) and the relationship between sex and these risk factors. The …

Cardiovascular disease is the primary reason for mortality worldwide, responsible for around
a third of all deaths. To assist medical professionals in quickly identifying and diagnosing …

The heart is one of the most vital organs in our body and crucial for proper bodily function,
an unfit heart can seriously affect fitness, lifestyle and severely decrease the expected …

This paper performs the data-driven research on the autogenous shrinkage of Ultra-High
Performance Concrete (UHPC) based on multiple machine learning algorithms. The …

Predictions of the unemployment duration of the economically active population play a
crucial assisting role for policymakers and employment agencies in the well-organised …