Several predictive models are widely used in neonatal care:
- Logistic Regression: Often used for binary outcomes, such as the presence or absence of a disorder. - Decision Trees: Useful for understanding the pathways leading to an outcome. - Neural Networks: Particularly effective for complex, non-linear relationships. - Support Vector Machines: Good for classifying high-dimensional data.
