Knowledge Discovery and Data Mining Healthcare

Abstract

The dataset in the knowledge discovery database is frightened by the advancement of strategies and procedures for utilizing information. Data mining is one of the most important stages of mining KDD. The process of pattern discovery and deactivation is done with the help of data mining technology wherein huge amount of data is stored. Some important early detection systems from clinical and diagnostic data are arising with the help of data mining and health care industry. The work related to algorithm method and results in this area has been reviewed in the context of filling health care related systems. Database leaders find themselves overwhelmed with data, but in reality they are less aware of making the right decisions. The Knowledge Discovery Database plays an important role in converting data into information. Organizations that take advantage of or benefit from KDD technology can make health-related decisions faster and better, and can also improve healthcare quality and reduce care costs. This paper reviews the knowledge discovery technology, data mining, process models and applications that apply to healthcare environments, and the challenges of applying data mining technology to health care environments are also discussed.