Feature selection becomes prominent, especially in the data sets with many variables and
features. It will eliminate unimportant variables and improve the accuracy as well as the …

Cardiovascular disease is one of the biggest cause for morbidity and mortality among the
population of the world. Prediction of cardiovascular disease is regarded as one of the most …

Heart related diseases or Cardiovascular Diseases (CVDs) are the main reason for a huge
number of death in the world over the last few decades and has emerged as the most life …

Advanced predictive analytics coupled with an effective attribute selection method plays a
pivotal role in the precise assessment of chronic disorder risks in patients. Traditional …

Machine learning has been used successfully to improve the accuracy of computer-aided
diagnosis systems. This paper experimentally assesses the performance of models derived …

There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …

Heart disease is one of the most complicated diseases, and it affects a large number of
individuals throughout the world. In healthcare, particularly cardiology, early and accurate …

Cervical cancer is the fourth most common malignant disease in women's worldwide. In
most cases, cervical cancer symptoms are not noticeable at its early stages. There are a lot …

This article compares six machine learning (ML) algorithms: Classification and Regression
Tree (CART), Support Vector Machine (SVM), Naïve Bayes (NB), K-Nearest Neighbors …

Cervical cancer is the fourth most communal malignant disease amongst women worldwide.
In maximum circumstances, cervical cancer indications are not perceptible at its initial …