Review on Data Mining Techniques for Prediction of Chronic Kidney Disease

Review on Data Mining Techniques for Prediction of Chronic Kidney Disease

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2018 by IJETT Journal
Volume-63 Number-1
Year of Publication : 2018
Authors : Pallavi Sharma, Gurmanik Kaur
DOI :  10.14445/22315381/IJETT-V63P209

Citation 

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.

Abstract
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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Keywords
Data mining, medical data, chronic kidney disease, disease prediction.