Bethesda, MD, United States of America

Kun Lin

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Montgomery, MD (US) (2019)
  • Bethesda, MD (US) (2020)

Company Filing History:


Years Active: 2019-2020

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovator Spotlight: Kun Lin

Introduction

Kun Lin, based in Bethesda, MD, is a prominent inventor known for his contributions to the field of healthcare analytics. With a total of three patents to his name, his work focuses on utilizing advanced computational techniques to improve patient-level data analysis.

Latest Patents

His latest patents include groundbreaking methodologies in patient-level analytics and medical data analysis. One notable patent, titled "Patient-level analytics with sequential pattern mining," outlines a computer-implemented method that constructs patient records and transforms them into bitmap representations. This innovative approach allows for the identification of sequential patterns within patient data on an individual basis.

Another significant patent, "Reduction of feature space for extracting events from medical data," describes various methods and systems aimed at enhancing the analysis of medical data. This invention involves receiving patient temporal traces and conducting sequential pattern mining to produce sequential features. These features are then clustered utilizing a similarity metric, which allows for the prediction of healthcare outcomes, significantly aiding in clinical decision-making.

Career Highlights

Kun Lin is employed at the International Business Machines Corporation (IBM), a global leader in technology and consulting. His work there emphasizes cutting-edge research and development in healthcare technology, contributing to the enhancement of patient care and predictive analytics in the medical field.

Collaborations

Throughout his career, Kun Lin has collaborated with esteemed colleagues in his field, including Jianying Hu and Hung-Yang Chang. This teamwork has further enhanced the innovative solutions that they provide in healthcare technology, bringing forth new methodologies to analyze and apply patient data effectively.

Conclusion

Kun Lin's innovative spirit and dedication to improving healthcare analytics through technology have led to meaningful advancements in the field. By leveraging computer-implemented methods to analyze patient data, he continues to exemplify the role of inventors in transforming industries and enhancing the quality of care. His work not only holds promise for current healthcare practices but also sets a foundation for future innovations.

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