Decoding Heart Health: A Predictive Model for Demographic-Based Cardiovascular Risk

This study analyzes cardiac health markers across age groups and genders using data-driven methods to find patterns and connections in ECG abnormalities and other health parameters. The study quantifies demographic health inequalities using Z-score analysis, weight difference computations, and anomaly ratio assessments. Overall, summary data and pair plots reveal heart health patterns, including substantial disparities in ECG abnormalities, weight distributions, and diagnostic frequency- cies. The findings help create prediction models for heart disease identification and intervention, especially in vulnerable groups. This research affects individualized healthcare and targeted preventative interventions to improve patient outcomes using data.