Emily Kilgore

Title: Emily Kilgore and Machine Learning for Predicting Classification Progression.

Introduction

Emily Kilgore is an inventor associated with UnitedHealth Group Incorporated and based in Eden Prairie, Minnesota. Her patent work concerns using machine learning to predict how a condition’s severity classification may change over time.

Latest Patents

The supplied information identifies one patent associated with Kilgore: “Machine Learning Techniques for Predicting Classification Progression.” The disclosed methods use a machine-learning model trained on data from a defined cohort. Training labels reflect whether an entity later reaches a severity level higher than its initial level. Once trained, the model can estimate the probability that an entity’s severity classification will escalate during a future period. Kilgore is credited with 1 patent.

Career Highlights

Kilgore’s listed invention applies predictive modeling to the progression of condition classifications. The approach is designed to use historical outcomes to estimate the likelihood of future severity escalation.

Collaborations

The supplied information names Jeffrey Hertzberg and Neal Kelly as Kilgore’s coworkers. It does not specify their roles in the patent or describe particular collaborations.

Conclusion

Emily Kilgore’s listed patent reflects an application of machine learning to predicting changes in condition severity, connecting her work at UnitedHealth Group Incorporated with data-driven progression forecasting.