A REVIEW OF DATA MINING TECHNIQUE FOR HEALTH CARE
Abstract

Author(s): Sami Ahmad, Prof. Kailash Patidar, Mr. Rishi Kushwah, Mr. Jitendra Rai

Data mining now-a-days assumes a critical part in expectation of sicknesses in medicinal services industry. Data mining is the procedure of choosing, investigating, and displaying a lot of informatio n to find obscure examples or connections valuable to the data analyst. Medicinal data mining has risen faultless with potential for investigating concealed examples from the data collections of medicinal area. These examples can be used for quick and better clinical basic leadership for preventive and suggestive solution. However crude medicinal information is accessible generally circulated, heterogeneous in nature and voluminous for common preparing. Data mining and Statistics can on the whole work better towards finding concealed examples and structures in Data. A variety of data mining techniques help to envisage the disease such as SVM, PCA, GA etc. In this paper, we present the literature review of the earlier work done by the researchers to diagnose the diabetes also discuss the advantages and disadvantage of data mining techniques. Keywords: Data Mining, SVM, KNN–GA, Diabetes

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Journal of Harmonized Research in Engineering received 32 citations as per google scholar report

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