Over the last decade, the fast growing area of artificial intelligence and machine learning has made its vast impact in various fields such as healthcare sector, security, market, image processing, etc. Deep learning has also evolved these days for prediction and forecasting as the performance of the machine learning algorithms does not show good results with large amounts of data. Whereas, Deep learning shows better results and performance with large amounts of data but it requires large computational power. Nowadays, computational power is not the limitation, hence deep learning is at its boost. The healthcare sector is using deep learning techniques for human disease classification, detection, or even predictions related to disease. Our research is also based upon the technique which is known as Decision Trees. The objective of our research is to predict the various outcomes of Myocardial Infarction (commonly known as a heart attack) using the Decision Trees but also using one more technique to improve the accuracy of prediction and this technique is known as Pruning. This is a type of Cardiovascular disease which affects the blood vessels as well as the heart. Cardiovascular diseases cause deaths in large numbers globally. Due to Cardiovascular diseases, nearly 17.9 million people died in 2019 in which heart attack and stroke were the main reasons for 85% of deaths. A heart attack which is also known as Myocardial Infarction causes damage to the heart muscles because of the decrease in the flow of blood or when the flow of blood completely stops to the coronary artery of the heart.