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: Innovations of Wen-Cheng Chao in Extubation Prediction
Introduction
Wen-Cheng Chao is an accomplished inventor based in Taichung City, Taiwan. He has made significant contributions to the field of medical technology, particularly in the area of extubation prediction using machine learning models. His innovative approach aims to enhance patient care and reduce the risks associated with extubation.
Latest Patents
Wen-Cheng Chao 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 utilizes machine learning to analyze key feature data of patients in real time, allowing clinical caregivers to evaluate the possibility of extubation and its related explanations. The goal is to minimize the chances of reintubation due to the inability to breathe spontaneously after extubation.
Career Highlights
Throughout his career, Wen-Cheng Chao has worked with notable institutions such as Taichung Veterans General Hospital and Tunghai University. His experience in these organizations has allowed him to develop and refine his innovative ideas in medical technology.
Collaborations
Wen-Cheng Chao has collaborated with several professionals in his field, including Kai-Chih Pai and Ming-Cheng Chan. These collaborations have contributed to the advancement of his research and the successful implementation of his inventions.
Conclusion
Wen-Cheng Chao's work in developing a machine learning-based extubation prediction system showcases his dedication to improving patient outcomes in clinical settings. His innovative contributions are paving the way for advancements in medical technology and patient care.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile