Several predictive models are commonly employed in neonatal care:
- Logistic Regression: Often used to predict binary outcomes, such as the presence or absence of a specific disorder. - Decision Trees: Useful for identifying risk factors and making clinical decisions based on multiple variables. - Neural Networks: Particularly effective in handling complex and non-linear relationships in data. - Random Forests: An ensemble learning method that improves accuracy by using multiple decision trees.
