Personalized predictions refer to the utilization of individual-specific data to forecast health outcomes. In the context of epidemiology, these predictions can help in identifying the risk of developing certain diseases, predicting the effectiveness of interventions, and tailoring public health strategies to individual needs. This approach leverages advanced statistical methods, machine learning algorithms, and large datasets.
