FASTING BLOOD SUGAR CONTROL AND TOTAL CHOLESTEROL ALGORITHM FOR DIABETES MELLITUS AND HYPERLIPIDAEMIA DISEASE PATIENTS: AN SAS METHODOLOGICAL PERFORMANCE
Hyperlipidaemia disease is a common disease which is very high risk of developing heart disease while diabetes mellitus is the major risk factor of unstable coronary artery disease. Through this study, we identify the factors that related to the kind of disease by searching the factor which has a strong association among all studied variables. For such linear modeling, the use of regression are not new but in this paper an attempt is made to propose a covariate-dependent linear model to identify the factors that contribute to the estimation of Hyperlipidaemia disease model and diabetes mellitus model. This study used the data which are gained from Hospital Universiti Sains Malaysia (HUSM). The obtained model is employed to estimate the potential possibilities factors that contribute to the hyperlipidaemia disease model and diabetes disease model. This can provide a useful model for statistical inferences and other relevant characteristics.
Keywords: Linear Regression, Response Surface Methodology (RSM), Hyperlipidaemia disease, SAS.