Miguel Martinez

Title: Miguel Martinez and Machine Learning for Predicting Classification Progression.

Introduction

Miguel Martinez is an inventor based in Katy, Texas, and is associated with UnitedHealth Group Incorporated. His patent work concerns applying machine learning to predict how an entity’s condition classification may progress over time.

Latest Patents

The provided information lists one patent for Martinez: “Machine Learning Techniques for Predicting Classification Progression.” The invention describes methods and systems that train a machine-learning model using a defined base cohort. Training data assigns each entity an outcome label based partly on whether a later severity level exceeds its initial severity level. Once trained, the model can estimate the probability that an entity’s severity level will increase during a future period. The approach is intended to support prediction of changes in condition classifications.

Career Highlights

Martinez’s listed patent reflects work at the intersection of machine learning and health-related classification. The supplied information associates him with UnitedHealth Group Incorporated and identifies 1 patent.

Collaborations

The provided information names Jeffrey Hertzberg and Neal Kelly as Martinez’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Miguel Martinez’s listed invention applies machine learning to estimate the likelihood of future severity escalation, connecting predictive modeling with condition classification.