This inventor holds 1 USPTO granted patent. Top assignees: Taichung Veterans General Hospital, Tunghai University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yan-nan Lin: Innovator in Extubation Prediction Using Machine Learning
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 the area of extubation prediction. His innovative approach utilizes machine learning to enhance patient care and clinical decision-making.
Latest Patents
Yan-nan Lin holds a patent for a "System and method thereof for establishing extubation prediction using machine learning model." This invention provides a comprehensive system and method for creating an extubation prediction model. It is capable of analyzing key feature data of a patient in real time, thereby determining the likelihood of successful extubation. The goal of this invention is to assist clinical caregivers in evaluating extubation, ultimately reducing the risk of reintubation due to the patient's inability to breathe spontaneously after extubation.
Career Highlights
Throughout his career, Yan-nan Lin has worked at prominent institutions such as Taichung Veterans General Hospital and Tunghai University. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in patient care.
Collaborations
Yan-nan Lin has collaborated with notable colleagues, including Wen-Cheng Chao and Kai-Chih Pai. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise in the field of medical technology.
Conclusion
In summary, Yan-nan Lin is a pioneering inventor whose work in machine learning for extubation prediction is making a significant impact in the medical field. His contributions are vital for improving patient outcomes and enhancing clinical practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile