Data Mining (DM), used to extract large amounts of hidden, valuable, useful information in
large quantities and to provide strategic decision support, has created a new perspective on …

Data mining (DM) is part of a process by which information or knowledge can be extracted
from data or databases and used to inform decision-making in a variety of contexts …

Data pertaining to any industry is multiplying at an enormous speed and in healthcare
industry the produced data is not only massive but also quite complex. As a result, proper …

The trend of application of data mining in healthcare today is increased because the health
sector is rich with information and data mining has become a necessity. Healthcare …

The information overload caused by the massive influx of raw data has caused traditional
data analysis to become insufficient. This caused a new interdisciplinary field of data mining …

While technical improvements in the form of computer-based healthcare information
applications as well as hardware are enabling collecting of and access to healthcare data …

The successful application of data mining in highly visible fields like e-business, marketing
and retail have led to the popularity of its use in knowledge discovery in databases (KDD) in …

The application of data mining (DM) in healthcare is increasing. Healthcare organizations
generate and collect large voluminous and heterogeneous information daily and DM helps …

In this paper, we have focused to compare a variety of techniques, approaches and different
tools and its impact on the healthcare sector. The goal of data mining application is to turn …

The paper interrogates the commonly accepted belief that data mining is widely used in
medicine [8] by comparing academic advances with practical achievements in the field. The …