Machine learning techniques for predicting classification progression

Abstract

Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for predicting progression of condition classifications using a progression prediction machine learning model. The progression prediction machine learning model is trained using training data that assigns an outcome label to each entity that is in a defined base cohort based at least in part on whether the entity has subsequent severity level that exceeds an initial severity level. Once trained the progression prediction machine learning mode is configured to predict a severity level escalation probability in a future time period for an entity.