The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods

Year 2016, Volume: 4 Issue: Special Issue-1, 27 - 31, 26.12.2016

Enes Çelik , Muhammet Atalay , Adil Kondiloglu

https://doi.org/10.18201/ijisae.265967

Cited By: 10

Abstract

Chronic kidney disease is a prolonged disease that damages the
kidneys and prevents the normal duties of the kidneys. This disease is
diagnosed with an increase of urinary albumin excretion lasting more than three
months or with significant reduction in a kidney functions. Chronic kidney
disease can lead to complications such as high blood pressure, anemia, bone
disease and cardiovascular disease. In this study we have been investigated to
determine the factors that decisive for early detection of chronic kidney
disease, launching early patients treatment processes, prevent complications
resulting from the disease and predict of disease.  The study aimed diagnosis and prediction of
disease using the data set that composed of data of 250 patients with chronic
kidney disease and 150 healthy people. First, the chronic kidney disease data
was classified with machine learning algorithms and then training and test
results were analysed.  The estimation
results of chronic kidney disease were compared with similar data and studies.

Keywords

Chronic Kidney Disease, Machine Learning, Classification

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