An Optimized Adaptive Feature Weighting Framework for Accurate Prediction of Cardiovascular Disease

Key Points

• Accurate prediction of cardiovascular disease improves with an optimized adaptive feature weighting framework, enabling better risk assessment.
• This framework enhances model performance, achieving a significant increase in prediction accuracy by 25% compared to traditional methods.
• Analysis employing algorithms for adaptive feature weighting provides insights into significant risk factors that influence cardiovascular outcomes.
• Optimized model performance in predicting cardiovascular disease highlights the need for advanced predictive tools in clinical settings.