Abstract: Coronary heart
disease is caused due to an accumulation of fat on the inside walls of blood
vessels of the heart (coronary arteries). The factors that had led to the
occurrence of coronary heart disease is dominated by unhealthy lifestyle of
patients, and the survival times of different patients. This research objective
is to predict the survival time of patients with coronary heart disease by
taking into account the explanatory variables were analyzed by the method of
Partial Least Square (PLS). PLS method
is used to resolve the multiple regression analysis when the specific problems
of multicollinearity and microarray data. The purpose of the PLS method is to
predict the explanatory variables with multiple response variables so as to
produce a more accurate predictive value.
The results of this research showed that the prediction of survival for
the three samples of patients with coronary heart disease had an average of 13
days, with a RMSEP value (error value) was 1.526 which means that the results
of this study are not much different from the predicted results in the field of
medicine. This is consistent with the fact that the medical field suggests that
the average survival for patients with coronary heart disease by 13 days.
Keywords: Survival; Coronary
Heart Disease; Multicollinearity; Microarray Data; Partial Least Square
Penulis: PANDE PUTU BUDI
KUSUMA, I GUSTI AYU MADE SRINADI
Kode Jurnal: jpmatematikadd130018
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