Susie Ryu

Title: Susie Ryu: Machine-Learning Research on Sleep Apnea Diagnosis.

Introduction

Susie Ryu is an inventor associated with Yonsei University in Seoul, South Korea. Her patent work addresses the diagnosis of obstructive sleep apnea syndrome using machine learning.

Latest Patents

Ryu is associated with 1 patent: “Obstructive Sleep Apnea Syndrome Diagnosis Method Using Machine Learning.” The invention describes extracting parameters related to obstructive sleep apnea from the airway’s geometric shape and applying machine learning to data calculated through simulation. Its stated aims include improving diagnostic accuracy and establishing a quantitative standard for diagnosis based on airway geometry.

Career Highlights

Ryu’s listed invention brings together airway geometry, simulation, and machine-learning analysis to support the diagnosis of obstructive sleep apnea syndrome. The available information identifies her affiliation with Yonsei University.

Collaborations

Joon Sang Lee and Hyung Ju Cho are listed as Ryu’s coworkers. The provided information does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Susie Ryu’s patent work at Yonsei University focuses on using machine learning and airway geometry to support more accurate, quantitative diagnosis of obstructive sleep apnea syndrome.