Jeffrey Hertzberg

Title: Jeffrey Hertzberg and Machine Learning for Predicting Classification Progression.

Introduction

Jeffrey Hertzberg is an inventor based in Minneapolis, Minnesota, and is associated with UnitedHealth Group Incorporated. His patent work addresses the use of machine learning to predict how the severity classification of a condition may change over time.

Latest Patents

Hertzberg is associated with 1 patent: “Machine Learning Techniques for Predicting Classification Progression.” The invention describes methods and systems that train a machine-learning model on data labeled according to whether an entity’s later severity level exceeds its initial level. Once trained, the model can estimate the probability that an entity’s severity classification will escalate during a future period.

Career Highlights

The available information connects Hertzberg’s patent activity with UnitedHealth Group Incorporated. His disclosed invention applies predictive modeling to classification progression, with the aim of estimating future changes in condition severity.

Collaborations

Neal Kelly and Miguel Martinez are identified as Hertzberg’s coworkers. The provided information does not specify their roles in the patent or whether they collaborated on the invention.

Conclusion

Jeffrey Hertzberg’s patent focuses on using machine learning to predict future severity-classification changes, reflecting an application of predictive technology to health-related data.