Taichung, Taiwan

Yan-Nan Lin


Average Co-Inventor Count = 13.3

ph-index = 1


Company Filing History:


Years Active: 2024

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2 patents (USPTO):Explore Patents

Title: Innovations by Yan-Nan Lin

Introduction

Yan-Nan Lin is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of medical technology, particularly in predicting acute kidney injuries and classifying respiratory statuses. With a total of two patents to his name, Lin's work showcases the intersection of healthcare and advanced technology.

Latest Patents

Yan-Nan Lin's latest patents include an "Acute Kidney Injury Predicting System and Method Thereof" and a "Respiratory Status Classifying Method and System Thereof." The acute kidney injury predicting system utilizes a processor that reads various data inputs, including detection data and machine learning algorithms, to generate a prediction model. This model assesses the risk probability of acute kidney injury and organizes the data in a sequence table based on risk characteristics.

The respiratory status classifying method involves inputting original physiological parameters and chest images to generate characteristic images and parameters. This process includes training classifiers using machine learning algorithms to accurately classify respiratory statuses. Both patents reflect Lin's innovative approach to enhancing medical diagnostics through technology.

Career Highlights

Throughout his career, Yan-Nan Lin has worked with esteemed institutions such as Taichung Veterans General Hospital and Tunghai University. His experience in these organizations has allowed him to develop and refine his inventions, contributing to advancements in medical technology.

Collaborations

Some of Lin's notable collaborators include Kai-Chih Pai and Chieh-Liang Wu. Their teamwork has likely played a role in the successful development of his patented technologies.

Conclusion

Yan-Nan Lin's contributions to medical technology through his innovative patents demonstrate his commitment to improving healthcare outcomes. His work in predicting acute kidney injuries and classifying respiratory statuses highlights the potential of technology in enhancing medical diagnostics.

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