Adaptive mining prediction model for content recommendation to coronary heart disease patients

This paper proposes the Fuzzy Rule-based Adaptive Coronary Heart Disease Prediction Support Model (FbACHD_PSM), which gives content recommendation to coronary heart disease patients. The proposed model uses a mining technique validated by medical experts to provide recommendations. FbACHD_PSM consis...

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Veröffentlicht in:	Cluster computing 2014-09, Vol.17 (3), p.881-891
Hauptverfasser:	Kim, Jae-Kwon, Lee, Jong-Sik, Park, Dong-Kyun, Lim, Yong-Soo, Lee, Young-Ho, Jung, Eun-Young
Format:	Artikel
Sprache:	eng
Schlagworte:	Cardiovascular disease Computer Communication Networks Computer Science Decision making Decision trees Heart diseases Neural networks Operating Systems Personal health Prediction models Processor Architectures Rule induction Statistical methods
Online-Zugang:	Volltext
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