Comparative Study of Heart Disease Classification
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Dosyalar
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The aim of this paper is to compare two important machine learning platform results for the same dataset. With this aim, we conducted an experiment to classify heart disease both in Matlab(C) environment and WEKA(C), by using six different algorithms. Linear SVM, Quadratic SVM, Cubic SVM, Medium Gaussian SVM, Decision Tree and Ensemble Subspace Discriminant machine learning approaches are used for classifying the heart disease.
Açıklama
Scientific Meeting on Electric Electronics, Computer Science, Biomedical Engineerings (EBBT) -- APR 20-21, 2017 -- Istanbul Arel Univ, Istanbul, TURKEY
WOS: 000413686600009
WOS: 000413686600009
Anahtar Kelimeler
heart disease, UCI Machine Learning, Classification, Support Vector Machines, Ensemble Learning, Decision Tree
Kaynak
2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (Ebbt)
WoS Q Değeri
N/A
