Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility using Random Forests Classifier
Küçük Resim Yok
Tarih
2015
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Cardiovascular system diseases are an important health problem. These diseases are very common also responsible for many deaths. With this study, it is aimed to analyze factors that cause Coronary Artery Disease using Random Forests Classifier. According to the analysis, we observed correct classification ratio and performance measure that creates susceptibility to Coronary Artery Disease for each factor. The performance measure results clearly show the impact of demographic characteristics on CAD. Additionally, this study shows that random forests algorithm can be used to the processing and classification of medical data such as CAD. (C) 2015 The Authors. Published by Elsevier B.V.
Açıklama
International Conference on Soft Computing and Software Engineering (SCSE) -- MAR 05-06, 2015 -- Univ California, Berkeley, CA
Anahtar Kelimeler
Classification, Coronary Artery Disease, Random Forests
Kaynak
Proceedings of the 2015 International Conference On Soft Computing and Software Engineering (Scse'15)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
62
