Clinical support systems are affected by the issue of high variance in terms of chronic
disorder prognosis. This uncertainty is one of the principal causes for the demise of large …

On our planet, chemical waste increases day after day, the emergence of new types of it, as
well as the high level of toxic pollution, the difficulty of daily life, the increase in the …

Due to the recent advance in the industrial Internet of Things (IoT) in manufacturing, the vast
amount of data from sensors has triggered the need for leveraging such big data for fault …

Automated medical diagnosis is one of the important machine learning applications in the
domain of healthcare. In this regard, most of the approaches primarily focus on optimizing …

This study aims to improve the accuracy of the classification algorithm for diagnosing chronic
kidney disease. There are several models of data mining. In classification, the Support …

The kidney is an essential organ inside the human body, playing a crucial role in several
physiological processes. One of its primary roles is the filtration of waste products and …

The database of developments in the health sector is growing very rapidly. The data is very
important to be processed and needs to be useful. Machine Learning and data mining are …

Genetic algorithms have emerged as a powerful optimization technique for feature selection
due to their ability to search through a vast feature space efficiently. This study discusses the …

The kidney is a vital organ of the body. The function of kidney is to filter the blood in the
body. When the kidneys filter blood, urine is made from excess and excess fluid in the body …

Teaching and learning programming is a challenge faced by many educational institutions.
In this paper we described using machine learning with data mining techniques to predict …