Review on Data Mining Techniques for Prediction of Chronic Kidney Disease
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2018 by IJETT Journal|
|Year of Publication : 2018|
|Authors : Pallavi Sharma, Gurmanik Kaur
|DOI : 10.14445/22315381/IJETT-V63P209|
MLA Style: Pallavi Sharma, Gurmanik Kaur"Review on Data Mining Techniques for Prediction of Chronic Kidney Disease" International Journal of Engineering Trends and Technology 63.1 (2018): 58-60.
APA Style:Pallavi Sharma, Gurmanik Kaur (2018). Review on Data Mining Techniques for Prediction of Chronic Kidney Disease. International Journal of Engineering Trends and Technology, 63(1), 58-60.
Data mining is the process of extracting hidden interesting patterns from massive database. Medical domain contains heterogeneous data that can be mined properly to provide a variety of useful information for the physicians to detect a disease, predict the survivability of the patients after disease, severity of diseases etc. The main aim of this paper is to analyse the application of data mining in medical domain for prediction of chronic kidney disease. In the healthcare area chronic kidney disease can be very well predicted using data mining techniques.
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Data mining, medical data, chronic kidney disease, disease prediction.