Abstract
Early screening of incidence coronary heart disease based on risk factor using fuzzy rule system
Highlights
The prediction model has been developed heart disease using risk factor attributes
In addition to the two standards, used the Systematic Coronary Risk Evaluation (SCORE), a standard commonly used in European populations (Graham et al, 2007)
Standard models that have been developed for predicting coronary heart disease events refer to a particular population, so the resulting model is sometimes not appropriate for different populations
Summary
The prediction model has been developed heart disease using risk factor attributes. The prediction models such as the Framingham Risk Score (FRS) (Wilson et al, 1998) and Prospective cardiovascular Munster (PROCAM) (Assmann et al, 2002). A study conducted by Versteylen et al (2011) explained that the standard FRS and SCORE provide better results than another standard It is reinforced in research Selvarajah et al (2014) showed that the FRS and SCORE be used to identify a high-risk cardiovascular population of Malaysia or Asia. It has been proven that the use of information technology can provide many benefits, both from the clinicians and patients (Anderson et al, 2013; Garg et al, 2005). The impact of these developments included in the model system
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