Cardiovascular disease (CVD) affects the walls of the arteries that supply the myocardium. CVD is not a single disease. It is a cluster of diseases and injuries that affect the cardiovascular system i.e. the heart and blood vessels. Heart failure is concern in patients with COVID-19. Alternately mental anxiety during lockdown period od COVID-19 may increase CVD. For assisting health care system, an automated tool is proposed in this paper that uses Reccurrent Neural Network (RNN). A stacked bi-directional LSTM layer based model is proposed in this paper that considers interfering factors from past health records while detecting patients with cardiac problems. Experimental results have indicated promising accuracy of 93.22% in predicting patients with cardiac troubles.