Developing a Statistical Modeling‐Based Machine Learning Approach for Capturing Drug Dosing Using a Proton Pump Inhibitor Case

The development of a statistical model to capture PPI dosing for both maintenance and complex dosing strategies was highly sensitive and accurate. A supervised learning prediction model helps overcome challenges in medication dosing identification by addressing concerns related to variability and complexity. Future strategies should focus on integrating unstructured data within the algorithm to further refine medication dosing capture.