Chit Ming Yip

Title: Innovations of Chit Ming Yip

Introduction

Chit Ming Yip is a notable inventor based in Hong Kong, CN. He has made significant contributions to the field of machine learning and data processing. With a total of 2 patents, his work focuses on developing advanced systems for automated database element processing and prediction output generation.

Latest Patents

Chit Ming Yip's latest patents include a method for machine learning systems aimed at automated database element processing. This computerized method involves training two machine learning models with historical feature vector inputs to generate likelihood and mean count outputs. The process assesses the likelihood of avoidable negative health events for entities within specified time periods. Additionally, he has developed a system and method for combining data sets, which involves creating multiple regression models to classify observations based on prediction results. This innovative approach enhances data analysis by merging observations into a cohesive third data set.

Career Highlights

Chit Ming Yip is currently employed at Cigna Intellectual Property, Inc., where he applies his expertise in machine learning and data processing. His work has been instrumental in advancing the capabilities of automated systems in healthcare and data analytics.

Collaborations

Some of his notable coworkers include David Fogarty and Yee Wah Eva Lee. Their collaborative efforts contribute to the innovative projects at Cigna Intellectual Property, Inc.

Conclusion

Chit Ming Yip's contributions to machine learning and data processing exemplify the impact of innovation in technology. His patents reflect a commitment to improving automated systems and data analysis, showcasing his role as a leading inventor in his field.