Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations.

We have developed and validated a robust, claims-based, machine learning risk model that is applicable to both medical and surgical patient populations and demonstrates comparable predictive accuracy to existing risk models.