Cardio Scan AI: A Hybrid Machine Learning Approach for Early Prediction of Cardiac Risk and Personalized Preventive Care

Key Points

• The aim is to evaluate a hybrid machine learning approach for early prediction of cardiac risk and to enhance preventive care.
• Implemented a hybrid machine learning algorithm for cardiac risk assessment.
• Utilized predictive models for data analysis in a healthcare setting.
• The AI model demonstrated high accuracy in predicting cardiac risk.
• Findings indicate potential for personalized preventive care based on individual risk profiles.

Abstract