International Journal of Engineering Research in Computer Science and Engineering
Volume4 ,September 2017.
Volume4,September 2017,
Topic : Analysis and Prediction of Chronic Kidney Disease using Data Mining Techniques
Authors:Tabassum S || Mamatha Bai B G, Jharna Majumdar
Abstract:Data Mining in Healthcare has become a present trend for obtaining accurate results of medical diagnosis, Chronic Kidney Disease (CKD) has become an international fitness problem and is a place of concern. It is a situation where kidneys turn out to be damaged and cannot filter toxic wastes within the frame. By using Data Mining Techniques, researchers have the scope to predict the Chronic Kidney Disease. This helps doctors to diagnose and suggest the treatment at an early stage. It also helps the patients to know about their health condition at an earlier stage and follow necessary diet and prescriptions..
Keywords: Big Data, Data Mining Techniques, Expectation Maximization, Artificial Neural Network, C4.5 Algorithm
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DOI: 01.1617/vol4/iss9/pid07952
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