Company Filing History:
Years Active: 2001-2003
Title: Innovations of Rudy E Van Bree in Natural Language Processing
Introduction
Rudy E Van Bree is an accomplished inventor based in Kaysville, Utah. He has made significant contributions to the field of natural language processing, particularly in the medical domain. With a total of two patents to his name, his work focuses on enhancing the understanding and processing of free-text medical data.
Latest Patents
Rudy's latest patents include a "Probabilistic system for natural language processing" and a "Probabilistic method for natural language processing and for encoding free-text data into a medical database." The first patent describes a natural language understanding system that generates concept codes from free-text medical data. It employs a probabilistic model of lexical semantics, implemented through a Bayesian network, to determine the most probable concept or meaning associated with a sentence or phrase. The inventive method includes steps such as checking for synonyms, checking spelling, performing syntactic parsing, transforming text to its semantic form, and conducting semantic analysis based on a probabilistic model of lexical semantics. The second patent similarly focuses on generating concept codes from free-text medical data, utilizing a Bayesian network for spell checking and transformational processing, along with semantic analysis.
Career Highlights
Rudy E Van Bree is currently associated with IHC Health Services, where he applies his expertise in natural language processing to improve medical data handling. His innovative approaches have the potential to significantly enhance the efficiency and accuracy of medical data interpretation.
Collaborations
Rudy has collaborated with notable colleagues such as Peter J Haug and Spencer B Koehler, contributing to advancements in their shared field of expertise.
Conclusion
Rudy E Van Bree's work in natural language processing exemplifies the intersection of technology and healthcare. His patents reflect a commitment to improving the understanding of medical data, which can lead to better patient outcomes.