Predictive models in neonatal disorders are algorithms and statistical techniques used to forecast health outcomes in newborns. These models analyze various data points, such as genetic information, birth conditions, and early health indicators, to predict the likelihood of neonatal disorders. The goal is to enable early intervention and improve health outcomes.