Machine Learning Approaches for Pressure Injury Prediction

Pressure Injuries are localized damages to the skin caused by sustained pressure. It is a common yet preventable disease affecting millions of patients. While there are multiple scales to determine if a patient has pressure injury, these methods suffer from high inter-rater subjectivity. To address this problem we create predictive models for pressure injury using Centers for Medicare Medicaid Services claims data. The models show relatively good predictive performance, we also explore aspects of the model where they will be deployed in a real world clinical settings.