There is an undeniable discernment that data mining has a great potential in the improvement of healthcare systems due to its ability to discover patterns and to obtain and isolate important data and information from a large collection of data sets. An in-depth exploration of data mining is essential to understand why this industry is still lagging behind in the implementation of data mining in its technology development. In this paper, datamining techniques has been evaluated with discussion of a broad overview of data mining techniques that point out essentials for health care practitioners and data analytics researchers. Specific examples on health care were shown using evaluation using chosen data mining technique and further discussion were made to show potentials of data mining to the industry.
Clustering, Classification, Health care, Regression, Decision trees
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