Vol.63 (NGCIT 2014), pp.143-146

In depression patients, prediction of cardiovascular diseases is very important and critical for effective treatments and health care. In the present study, we developed the prediction model utilizing data-mining based linear discriminant analysis in order to make early prediction of cardiovascular diseases in depression patients. The objective of the study was to find the optimal method in the clinical decision support system to provide best solution as well as diagnosis in terms of clinical decision support system. In results, the suggested model provided 69% of accuracy which is helpful to predict cardiovascular diseases for depression patients as well as doctors. And eventually, it is considered to be an effective model for depression patients to prevent cardiovascular diseases and self-manage their health via monitoring risks.