Yee Wah Eva Lee

Title: Innovations of Yee Wah Eva Lee

Introduction

Yee Wah Eva Lee is an accomplished inventor based in South Windsor, CT (US). She has made significant contributions to the field of machine learning, particularly in the development of systems for automated database element processing and prediction output generation. With a total of 2 patents, her work is paving the way for advancements in health event prediction and data processing.

Latest Patents

Yee Wah Eva Lee's latest patents focus on innovative machine learning systems. The first patent describes a computerized method for automatic distributed communication. This method involves training two machine learning models with historical feature vector inputs to generate likelihood and mean count outputs. The system processes inputs to predict avoidable negative health events for entities within specified time periods. The second patent outlines a computer system that utilizes memory and processor hardware to store and execute machine learning models. This system generates title and background score outputs, which indicate the likelihood of an entity being a decision entity. Both patents emphasize the automatic distribution of structured campaign data based on the generated outputs.

Career Highlights

Yee Wah Eva Lee is currently employed at Cigna Intellectual Property, Inc., where she continues to innovate in the field of machine learning. Her expertise in developing predictive models has made her a valuable asset to her organization.

Collaborations

Throughout her career, Yee Wah has collaborated with notable colleagues, including David Fogarty and Chun Ho Chan. These partnerships have contributed to her success and the advancement of her projects.

Conclusion

Yee Wah Eva Lee is a pioneering inventor whose work in machine learning is making a significant impact in health event prediction and data processing. Her contributions are essential in advancing technology and improving outcomes in various fields.