The goal of the study was to predict heart disease using machine learning algorithms like Decision Tree and Logistic Regression. The researchers compared the accuracy of these two methods and found that the Decision Tree algorithm had significantly better accuracy at 80.10% compared to Logistic Regression. This means that Decision Tree is more effective at predicting heart disease than Logistic Regression.