new born babies

The primary objective of this project is to develop a machine learning-based system capable of accurately predicting the risk of heart failure in newborns. This will be achieved by analyzing relevant clinical and physiological data through well-established algorithms such as Decision Tree, Random Forest, Logistic Regression, and XGBoost.