Neal Kelly

Title: Neal Kelly and Machine Learning for Predicting Classification Progression.

Introduction

Neal Kelly is an inventor based in St. Louis Park, Minnesota, and is associated with UnitedHealth Group Incorporated. His patent work concerns using machine learning to predict how the severity classification of a condition may change over time.

Latest Patents

Kelly is named on one patent, titled “Machine Learning Techniques for Predicting Classification Progression.” The invention describes methods, systems, and computing devices that use a machine-learning model to estimate the likelihood that an entity’s condition severity will increase during a future period. The model is trained on data that labels entities according to whether their later severity level exceeds their initial level. Kelly’s listed portfolio includes 1 patent.

Career Highlights

Kelly’s patent reflects an application of predictive modeling to health-related classification. By estimating the probability of a future severity escalation, the disclosed approach may support analysis of condition progression.

Collaborations

The provided information lists Jeffrey Hertzberg and Miguel Martinez as Kelly’s coworkers at UnitedHealth Group Incorporated. Their inclusion here reflects the supplied workplace association and does not establish that they are co-inventors on the patent.

Conclusion

Neal Kelly’s patent work focuses on applying machine learning to predict changes in condition severity, connecting predictive analytics with health-related classification.