Taichung, Taiwan

Chun-Te Huang


Average Co-Inventor Count = 15.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Chun-Te Huang in Acute Kidney Injury Prediction

Introduction

Chun-Te Huang is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of medical technology, particularly in the prediction of acute kidney injuries. His innovative approach combines machine learning algorithms with medical data to enhance patient care.

Latest Patents

Chun-Te Huang holds a patent for an "Acute Kidney Injury Predicting System and Method Thereof." This invention proposes a system where a processor reads various data inputs, including detection data and a risk probability comparison table. The processor utilizes a machine learning algorithm to train the detection data, generating a prediction model for acute kidney injuries. This model then processes the data to produce a characteristic risk probability and a data sequence table, which organizes the data based on its relevance to acute kidney injury characteristics. The system ultimately selects appropriate medical treatment data based on the generated risk probabilities.

Career Highlights

Throughout his career, Chun-Te Huang has worked with esteemed 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 medical technology.

Collaborations

Chun-Te Huang has collaborated with notable colleagues, including Chieh-Liang Wu and Cheng-Hsu Chen. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise in the field of medical innovation.

Conclusion

Chun-Te Huang's work in developing an acute kidney injury predicting system exemplifies the intersection of technology and healthcare. His contributions are paving the way for improved patient outcomes through innovative predictive methods.

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