This inventor holds 1 USPTO granted patent. Top assignee: Siemens Medical Solutions USA, Inc.. Active years: 2011.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2011
Title: Oksana Yakhnenko: Inventor in Medical Text Processing
Introduction
Oksana Yakhnenko is an inventor associated with Ames, Iowa, and Siemens Medical Solutions USA, Inc. Her patent work addresses methods for organizing and interpreting text in medical patient records.
Latest Patents
Yakhnenko is named on one patent, System and Method for Text Tagging and Segmentation Using a Generative/Discriminative Hybrid Hidden Markov Model. The invention describes a method for sequence-tagging medical records using a labeled corpus of sentences and a hybrid model with generative and discriminative parameters. It optimizes transition and emission probabilities through an iterative process that adjusts a penalized log-likelihood objective until the solutions converge. The approach is designed to determine labels for new sentences in medical records.
Career Highlights
Yakhnenko’s listed patent reflects work at the intersection of medical information and computational language processing. The method focuses on segmenting and tagging clinical text, supporting structured analysis of information recorded in patient records.
Collaborations
The patent lists Lucian Vlad Lita and Radu Stefan Niculescu among Yakhnenko’s coworkers. Their shared professional context is associated with Siemens Medical Solutions USA, Inc.
Conclusion
Oksana Yakhnenko’s patent contribution centers on a hybrid hidden Markov model for tagging and segmenting medical text, illustrating an application of computational methods to patient-record analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile