Predictive analytics uses historical data to forecast future outcomes. For example, machine learning models can analyze past cases of neonatal sepsis to predict the likelihood of its occurrence in new patients. These models can consider multiple variables such as birth weight, gestational age, and maternal health factors to deliver accurate predictions.
