ANALYSIS ACCURACY AND PERFORMANCE OF DATA MINING TECHNIQUES IN HEALTHCARE
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 5, Issue 2
Abstract
Data mining is growing technique in disparate research fields due to its limitless approaches and applications to mining the data in an targeted manner. Owing to the changes, the current world acquiring, it is one of the optimize technique (approach) for predicting future result and its analysis. With advanced researches in healthcare sector monstrous of data are available, but the main difficulty is how to make cultivate the existing information into a useful practices. To solve this barrier the concept of data mining is introduced and it best technique suited. Data mining have a great potential to enable healthcare systems more efficiently and effectively by using its data. Hence, it improves care of patient and reduces costs involve. This paper analysis various Data Mining techniques such as classification, association, healthcare, clustering and regression discussed. In this paper it also highlights applications, challenges and future work of Data Mining in healthcare.
Authors and Affiliations
Vikas Kapoor
Keywords
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