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: Ta-chun Hung: Innovator in Extubation Prediction Using Machine Learning
Introduction
Ta-chun Hung 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
Ta-chun Hung 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 and offering explanations related to the prediction. This tool is designed to assist clinical caregivers in evaluating extubation, ultimately aiming to reduce the risk of reintubation due to the patient's inability to breathe spontaneously after extubation. He has 1 patent to his name.
Career Highlights
Throughout his career, Ta-chun Hung has worked at prominent institutions such as Taichung Veterans General Hospital and Tunghai University. His roles in these organizations have allowed him to apply his expertise in machine learning and patient care, contributing to advancements in medical technology.
Collaborations
Ta-chun Hung has collaborated with notable colleagues, including Wen-Cheng Chao and Kai-Chih Pai. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.
Conclusion
Ta-chun Hung's work in establishing an extubation prediction model through machine learning represents a significant advancement in medical technology. His contributions are poised to improve patient outcomes and enhance clinical practices in respiratory care.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile