Beyond clinical variables: Machine learning integration of clinical and contextual factors for predicting heart failure readmissions
This study used machine learning to integrate clinical and socioeconomic factors to improve prediction accuracy in heart failure patients and found that on the test set, random forest and XGBoost outperformed logistic regression.
Abdullah al Marrawi, F. Alahdab, Faha Facc et al.
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