Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility Using Random Forests Classifier

Autor:	Safak Bayir, Baha Sen, Elif Calik, Kemal Akyol, Abdullah Çavuşoğlu
Rok vydání:	2015
Předmět:	Computer science business.industry Pattern recognition Coronary Artery Disease medicine.disease Classification Random forest Coronary artery disease medicine General Earth and Planetary Sciences Artificial intelligence Random Forests business Classifier (UML) General Environmental Science
Zdroj:	SCSE
ISSN:	1877-0509
DOI:	10.1016/j.procs.2015.08.407
Popis:	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.
Databáze:	OpenAIRE
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