Predictive models are another crucial application of computational power in neonatal disorders. By leveraging historical data and machine learning techniques, predictive models can forecast the likelihood of certain conditions developing, allowing for early intervention. For instance, models can predict the risk of neonatal respiratory distress syndrome or hypoxic-ischemic encephalopathy, enabling healthcare providers to take preemptive measures.
