Cambridge, MA, United States of America

Yoonyoung Park

USPTO Granted Patents = 9 

 

Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2023

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):

Title: The Innovative Contributions of Yoonyoung Park

Introduction

Yoonyoung Park is a prominent inventor based in Cambridge, MA, known for his significant contributions to the field of electronic health records and predictive modeling. With a total of nine patents to his name, Park has made strides in developing technologies that enhance patient care through data-driven approaches.

Latest Patents

Among his latest patents, one focuses on "Identifying and extracting stimulus-response variables from electronic health records." This invention involves extracting a plurality of events from electronic health records associated with a patient. The analysis of these events helps identify stimulus and response events, leading to the generation of a stimulus-response variable that can be integrated into predictive cognitive models. Another notable patent is "Generating personalized treatment options using precision cohorts and data-driven models." This innovation involves extracting attributes from electronic health records to create a patient similarity model, which helps identify precision cohorts and determine the most effective treatment options for patients.

Career Highlights

Yoonyoung Park has worked with several esteemed organizations, including IBM and Merative US L.P. His experience in these companies has allowed him to apply his innovative ideas in real-world settings, contributing to advancements in healthcare technology.

Collaborations

Throughout his career, Park has collaborated with notable professionals in the field, including Uri Kartoun and Kenney Ng. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Yoonyoung Park's contributions to the field of electronic health records and predictive modeling demonstrate his commitment to improving patient care through innovation. His patents reflect a deep understanding of data-driven approaches that can transform healthcare practices.

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