Ramesh Rangasamy Ganesan

Title: Ramesh Rangasamy Ganesan: Inventor in Provider Activity Anomaly Detection.

Introduction

Ramesh Rangasamy Ganesan is an inventor associated with Karnataka, India, and Optum, Inc. His patent work addresses the use of unsupervised learning to identify provider addresses that may have become inactive.

Latest Patents

Ganesan is associated with 1 patent, titled “Provider Activity Anomaly Detection.” The invention describes techniques for automatically detecting inactive provider addresses by analyzing activity trends. For addresses with increasing activity, the system calculates an active metric that estimates the likelihood that an address is active. For addresses with decreasing activity, it calculates an inactive metric that estimates the likelihood that an address is inactive.

The system then uses these metrics to determine whether an address is active or inactive. In some embodiments, the metrics are weighted sums of z-scores derived from Gaussian distributions based on benchmarks or provider features. The weights may be determined using reinforcement learning from human feedback (RLHF) techniques.

Career Highlights

Ganesan’s listed patent reflects work at the intersection of data analysis, machine learning, and provider information management. The described approach uses activity patterns and statistical metrics to support automated assessments of address status.

Collaborations

Ganesan is associated with Optum, Inc. His listed coworkers include Rakesh P. A. and Vijaychandar Natesan.

Conclusion

Ramesh Rangasamy Ganesan’s patent focuses on applying unsupervised learning and activity-based metrics to detect potentially inactive provider addresses.