Araştırma Makalesi

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

Cilt: 4 Sayı: Special Issue-1 26 Aralık 2016
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The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods

Öz

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.

Anahtar Kelimeler

Kaynakça

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  5. [5] Soundarapandian, Online Accessed: May, 2016, https://archive.ics.uci.edu/ml/datasets/Chronic_Kidney_Disease, 2015.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Enes Çelik
Türkiye

Muhammet Atalay
KIRKLARELİ ÜNİVERSİTESİ
Türkiye

Adil Kondiloglu Bu kişi benim
BEYKENT ÜNİVERSİTESİ
Türkiye

Yayımlanma Tarihi

26 Aralık 2016

Gönderilme Tarihi

14 Kasım 2016

Kabul Tarihi

1 Aralık 2016

Yayımlandığı Sayı

Yıl 2016 Cilt: 4 Sayı: Special Issue-1

Kaynak Göster

APA
Çelik, 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. https://doi.org/10.18201/ijisae.265967
AMA
1.Çelik 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. 2016;4(Special Issue-1):27-31. doi:10.18201/ijisae.265967
Chicago
Çelik, Enes, Muhammet Atalay, ve Adil Kondiloglu. 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. https://doi.org/10.18201/ijisae.265967.
EndNote
Çelik E, Atalay M, Kondiloglu A (01 Aralık 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.
IEEE
[1]E. Çelik, M. Atalay, ve A. Kondiloglu, “The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods”, International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy Special Issue-1, ss. 27–31, Ara. 2016, doi: 10.18201/ijisae.265967.
ISNAD
Çelik, Enes - Atalay, Muhammet - Kondiloglu, Adil. “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 (01 Aralık 2016): 27-31. https://doi.org/10.18201/ijisae.265967.
JAMA
1.Çelik 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. 2016;4:27–31.
MLA
Çelik, Enes, vd. “The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods”. International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy Special Issue-1, Aralık 2016, ss. 27-31, doi:10.18201/ijisae.265967.
Vancouver
1.Enes Çelik, Muhammet Atalay, Adil Kondiloglu. The Diagnosis and Estimate of Chronic Kidney Disease Using the Machine Learning Methods. International Journal of Intelligent Systems and Applications in Engineering. 01 Aralık 2016;4(Special Issue-1):27-31. doi:10.18201/ijisae.265967

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