Artificial Intelligence (AI) is widely implemented in healthcare 4.0 for producing early and
accurate results. The early predictions of disease help doctors to make early decisions to …

Medical data is one of the most rewarding and yet most complicated data to analyze. How
can healthcare providers use modern data analytics tools and technologies to analyze and …

Data mining is the practice of examining and deriving purposeful information from the data.
Data mining finds its application in various fields like finance, retail, medicine, agriculture …

There has been a rapid growth in the use of automatic decision-making systems and tools in
the medical domain. By using the concepts of big data, deep learning, and machine …

Software defect prediction (SDP) in the initial period of the software development life cycle
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …

Prediction of the occurrence of heart diseases in medical centers is significant to identify if
the person has heart disease or not. Data mining is used to retrieve hidden information in …

Chronic Kidney Disease (CKD) implies that the human kidneys are harmed and unable to
blood filter in the manner which they should. The disease is designated “chronic” in light of …

The three most important necessities for human life are food, shelter, and clothing. Young
people who are technologically savvy have witnessed a significant scientific increase in the …

Liver disease is a significant global burden on health, with about a few hundred million
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …

In this paper an attempt is made to study the unsupervised learning clustering algorithms
such as K-Means, Agglomerative, and Fuzzy C-means Clustering methods. The Nature …