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

Enes ÇELİK [1] , Muhammet Atalay [2] , Adil Kondiloglu [3]

395 752

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.

Chronic Kidney Disease, Machine Learning, Classification
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Konular Mühendislik ve Temel Bilimler
Dergi Bölümü Research Article
Yazarlar

Yazar: Enes ÇELİK
E-posta: enes.celik@klu.edu.tr
Ülke: Turkey


Yazar: Muhammet Atalay
E-posta: enes.celik@klu.edu.tr
Kurum: KIRKLARELI UNIV
Ülke: Turkey


Yazar: Adil Kondiloglu
E-posta: enes.celik@klu.edu.tr
Kurum: BEYKENT UNIV
Ülke: Turkey


Bibtex @araştırma makalesi { ijisae265967, journal = {International Journal of Intelligent Systems and Applications in Engineering}, issn = {}, address = {İsmail SARITAŞ}, year = {2016}, volume = {4}, pages = {27 - 31}, doi = {10.18201/ijisae.265967}, title = {The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods}, key = {cite}, author = {Atalay, Muhammet and ÇELİK, Enes and Kondiloglu, Adil} }
APA ÇELİK, E , Atalay, M , Kondiloglu, A . (2016). The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods. International Journal of Intelligent Systems and Applications in Engineering, 4 (Special Issue-1), 27-31. DOI: 10.18201/ijisae.265967
MLA ÇELİK, E , Atalay, M , Kondiloglu, A . "The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods". International Journal of Intelligent Systems and Applications in Engineering 4 (2016): 27-31 <http://dergipark.gov.tr/ijisae/issue/25999/265967>
Chicago ÇELİK, E , Atalay, M , Kondiloglu, A . "The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods". International Journal of Intelligent Systems and Applications in Engineering 4 (2016): 27-31
RIS TY - JOUR T1 - The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods AU - Enes ÇELİK , Muhammet Atalay , Adil Kondiloglu Y1 - 2016 PY - 2016 N1 - doi: 10.18201/ijisae.265967 DO - 10.18201/ijisae.265967 T2 - International Journal of Intelligent Systems and Applications in Engineering JF - Journal JO - JOR SP - 27 EP - 31 VL - 4 IS - Special Issue-1 SN - -2147-6799 M3 - doi: 10.18201/ijisae.265967 UR - http://dx.doi.org/10.18201/ijisae.265967 Y2 - 2016 ER -
EndNote %0 International Journal of Intelligent Systems and Applications in Engineering The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods %A Enes ÇELİK , Muhammet Atalay , Adil Kondiloglu %T The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods %D 2016 %J International Journal of Intelligent Systems and Applications in Engineering %P -2147-6799 %V 4 %N Special Issue-1 %R doi: 10.18201/ijisae.265967 %U 10.18201/ijisae.265967