Li Qin

Title: Li Qin and Wearable-Based Detection of Chronic Health Conditions.

Introduction

Li Qin is an inventor associated with Hartford, Connecticut, and Aetna Inc. Her patent work focuses on applying machine learning to health data collected through wearable devices.

Latest Patents

Qin is associated with 1 patent, titled “Machine Learning Framework for Detection of Chronic Health Conditions.” The invention describes a system that uses deep learning to analyze data from devices such as activity trackers and smartwatches, alongside information from a user’s health records. Its input may also include data related to social determinants of health and demographics. The system generates probability-based predictions about potential underlying health conditions and can notify the user or a primary care provider when a condition is detected.

Career Highlights

Qin’s patent reflects an approach to health monitoring that combines wearable-device measurements with other relevant information. The disclosed framework is designed to support the identification of chronic health conditions and enable notifications through a wearable device, an associated application, or a healthcare provider.

Collaborations

Qin is associated with Aetna Inc. Her listed coworkers include Naiqian Zhi and Sarah Wohlman.

Conclusion

Li Qin’s patent describes a machine-learning framework that combines wearable data and health-related information to estimate the likelihood of chronic conditions and support timely notification.