Yıl: 2020 Cilt: 36 Sayı: 1 Sayfa Aralığı: 89 - 102 Metin Dili: İngilizce İndeks Tarihi: 19-12-2020

Classification of Factors Affecting Renal Failure by Machine Learning Methods

Öz:
Machine learning methods are widely used for data analysis inhealth research. The aim of this study is to classify the factors that affect renalfailure by using various machine learning methods such as Artificial NeuralNetworks (Multilayer Perceptron), Support Vector Machines, Naive Bayes,Decision Trees, Random Forests, K-Nearest Neighborhood algorithms. In thisstudy, 237 patients who have been in emergency unit in Hospital of Numunein Ankara and were older than 18 years and have upper gastrointestinalbleeding symptoms have been selected. Here, 34 variables such as age,gender, blood values, other diseases etc. which affect renal failure have beenused to make classification with machine learning methods. When machinelearning methods are compared according to the accuracy rates, F-measure,sensivity, specifity and Kappa values, it has been found that decision treesalgorithm performs well.
Anahtar Kelime:

Makine Öğrenmesi Yöntemleri ile Böbrek Yetmezliği Hastalığını Etkileyen Faktörlerin Sınıflandırılması

Öz:
Makine öğrenmesi yöntemleri, sağlık araştırmalarında veri analizi için yaygın olarak kullanılmaktadır. Bu çalışmanın amacı, Yapay Sinir Ağları (Çok Katmanlı Algılayıcı), Destek Vektör Makineleri, Naive Bayes, Karar Ağaçları, Rastgele Orman Algoritması, K-En Yakın Komşu Algoritması gibi çeşitli makine öğrenmesi yöntemlerini kullanarak böbrek yetmezliğini etkileyen faktörleri sınıflandırmaktır. Bu çalışmada, Ankara Numune Hastanesi’nde acil servise gelen, 18 yaşından büyük ve üst gastrointestinal kanama belirtileri bulunan 237 hasta seçilmiştir. Burada makine öğrenmesi yöntemleri ile sınıflandırma yapmak için böbrek yetmezliğini etkileyen yaş, cinsiyet, kan değerleri, diğer hastalıklar vb. gibi 34 değişken kullanılmıştır. Makine öğrenmesi yöntemleri doğruluk oranları, F-ölçütü, duyarlılık, özgüllük ve Kappa değerlerine göre karşılaştırıldığında, karar ağaçları algoritmasının iyi performans gösterdiği bulunmuştur.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA ÇORBA B, Kasap P (2020). Classification of Factors Affecting Renal Failure by Machine Learning Methods. , 89 - 102.
Chicago ÇORBA BURÇİN ŞEYDA,Kasap Pelin Classification of Factors Affecting Renal Failure by Machine Learning Methods. (2020): 89 - 102.
MLA ÇORBA BURÇİN ŞEYDA,Kasap Pelin Classification of Factors Affecting Renal Failure by Machine Learning Methods. , 2020, ss.89 - 102.
AMA ÇORBA B,Kasap P Classification of Factors Affecting Renal Failure by Machine Learning Methods. . 2020; 89 - 102.
Vancouver ÇORBA B,Kasap P Classification of Factors Affecting Renal Failure by Machine Learning Methods. . 2020; 89 - 102.
IEEE ÇORBA B,Kasap P "Classification of Factors Affecting Renal Failure by Machine Learning Methods." , ss.89 - 102, 2020.
ISNAD ÇORBA, BURÇİN ŞEYDA - Kasap, Pelin. "Classification of Factors Affecting Renal Failure by Machine Learning Methods". (2020), 89-102.
APA ÇORBA B, Kasap P (2020). Classification of Factors Affecting Renal Failure by Machine Learning Methods. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 36(1), 89 - 102.
Chicago ÇORBA BURÇİN ŞEYDA,Kasap Pelin Classification of Factors Affecting Renal Failure by Machine Learning Methods. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi 36, no.1 (2020): 89 - 102.
MLA ÇORBA BURÇİN ŞEYDA,Kasap Pelin Classification of Factors Affecting Renal Failure by Machine Learning Methods. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol.36, no.1, 2020, ss.89 - 102.
AMA ÇORBA B,Kasap P Classification of Factors Affecting Renal Failure by Machine Learning Methods. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2020; 36(1): 89 - 102.
Vancouver ÇORBA B,Kasap P Classification of Factors Affecting Renal Failure by Machine Learning Methods. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2020; 36(1): 89 - 102.
IEEE ÇORBA B,Kasap P "Classification of Factors Affecting Renal Failure by Machine Learning Methods." Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 36, ss.89 - 102, 2020.
ISNAD ÇORBA, BURÇİN ŞEYDA - Kasap, Pelin. "Classification of Factors Affecting Renal Failure by Machine Learning Methods". Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi 36/1 (2020), 89-102.