Qin Li

Title: Innovations by Qin Li in Health Monitoring Technology

Introduction

Qin Li is an innovative inventor based in Hartford, CT, who has made significant contributions to the field of health monitoring technology. His work focuses on utilizing machine learning to enhance the detection of chronic health conditions through wearable devices.

Latest Patents

Qin Li holds a patent for a "Machine learning framework for detection of chronic health conditions." This patent describes a system and method for detecting chronic health conditions based on data collected by wearable devices, such as activity trackers or smartwatches. The technology employs deep learning algorithms to process monitored parameter data and additional embedding data from health records associated with the user. The input vector may also include social determinants and demographic data. The output from these algorithms provides predictions that indicate the likelihood of the user having an underlying health condition. If a condition is detected, the user can be notified directly through the wearable device or an associated application, or indirectly via their primary care provider.

Career Highlights

Qin Li is currently employed at Aetna Inc., where he continues to develop innovative solutions in health technology. His work is pivotal in advancing how chronic health conditions are monitored and managed through modern technology.

Collaborations

Qin has collaborated with notable colleagues, including Naiqian Zhi and Sarah Wohlman, to further enhance the capabilities of health monitoring systems.

Conclusion

Qin Li's contributions to the field of health monitoring through machine learning exemplify the potential of technology to improve healthcare outcomes. His innovative patent reflects a commitment to leveraging data for better health management.