Abstract. Heart failure, one of the significant causes of death, poses challenges to healthcare systems due to its high hospitalization rates and substantial economic burden. This study explores the key factors predicting survival among heart failure patients by evaluating a variety of clinical, demographic, and lifestyle elements. Employing logistic regression, this analysis utilizes data from 299 patients at the Faisalabad Institute of Cardiology, each marked with 12 risk factors, and conducts a 10-fold cross-validation to ensure robustness. Results reveal that age, serum sodium, and serum creatinine levels are crucial predictors of mortality. Contrary to expectations, ejection fraction plays a lesser role. This study broadens our understanding of the complex risk factors linked to heart failure, helping to refine predictive models that could improve patient outcomes and reduce the economic pressures on healthcare systems, especially in regions facing financial difficulties. The study also highlights the potential role of lifestyle factors, such as dietary and physical activity patterns, in managing heart failure, suggesting a broader approach for future research and interventions.
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