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What is Enhancing Heart Attack Prediction Accuracy about?

This project focuses on developing a heart attack prediction model using data analytics and machine learning techniques to enhance the accuracy of predictions. The model integrates various risk factors, including demographic data and medical history, and is trained using multiple algorithms, with Logistic Regression achieving the highest accuracy of 93%. The ultimate goal is to improve early detection and prevention of heart attacks, thereby enhancing patient outcomes and reducing mortality rates.

Author

bawasamaan

Language

EN