Decision support model in determining factors and its dominant criteria affecting cholesterol level based on rough-regression

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Abstract

The statistical regression models have been frequently used to explain the causal relationship between exogenous factors and the cholesterol level of patients. While, the dominant criteria for each exogenous factor which give impact to the cholesterol level are not yet investigated by previous studies. In this paper, we are interested to introduce a decision making model based on rough-regression in handling the significant contribution between the dominant criteria, exogenous and endogenous factors, respectively. The result showed the proposed model is able to investigate the dominant criteria and factors affecting cholesterol level patients. This model may help the counterparts in the decision making.

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Efendi, R., & Deris, M. M. (2018). Decision support model in determining factors and its dominant criteria affecting cholesterol level based on rough-regression. In Advances in Intelligent Systems and Computing (Vol. 700, pp. 243–251). Springer Verlag. https://doi.org/10.1007/978-3-319-72550-5_24

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