HEART DISEASE DATASET

At present, big data technology is booming, and it plays an extremely important role in all aspects of our lives, from healthcare and financial services to smart city construction and personalized recommendations, big data applications are everywhere.   Through the analysis and processing of massive data, big data technology not only improves the accuracy of decision-making, but also provides strong support for optimizing resource allocation, improving operational efficiency and achieving innovation.   The use of big data to prevent and control heart disease is on the rise.  By leveraging big data, we can enhance our understanding of heart disease patterns to better optimize prevention strategies and more effective treatments.  However, the imbalance of medical data on heart disease poses difficulties for big data research.  Dealing with these problems requires detailed data preprocessing strategies.  In addition, identifying the truly useful features and the most effective predictive models for heart disease is a challenge amid the massive amount of medical data. This is an imbalanced data set on heart disease, with far more people healthy than sick.