Company Filing History:
Years Active: 2021-2023
Title: Nurlanbek Duishoev: Innovator in Predictive Medical Systems
Introduction
Nurlanbek Duishoev is a prominent inventor based in Frankfurt am Main, Germany. He has made significant contributions to the field of medical technology, particularly in developing predictive systems for clinical queries. With a total of 2 patents, his work is paving the way for advancements in healthcare data processing.
Latest Patents
Duishoev's latest patents focus on a predictive system designed to generate clinical queries. This innovative system includes methods, systems, and apparatuses, along with computer programs encoded on a computer storage medium. The system processes data describing terms for various medical concepts to generate commands from user queries. An entity module within the system determines whether a term describes a medical entity associated with a healthcare condition affecting an individual. When a term is identified as a medical entity, an encoding module links it to a specified category based on an encoding scheme. The system then receives the user query, and a parsing engine generates a machine-readable command by parsing the query against terms that describe the medical entity. This command is utilized to query different databases, ultimately obtaining data to generate a response to the received query.
Career Highlights
Nurlanbek Duishoev is currently employed at IQVIA Inc., a leading company in the healthcare data analytics sector. His role involves leveraging his expertise in predictive systems to enhance clinical decision-making processes. His innovative approach has positioned him as a key player in the intersection of technology and healthcare.
Collaborations
Duishoev collaborates with talented professionals in his field, including Kristy Morgan and Joaquin Palancar Arbona. These collaborations foster an environment of innovation and creativity, driving advancements in medical technology.
Conclusion
Nurlanbek Duishoev's contributions to predictive medical systems exemplify the impact of innovation in healthcare. His work not only enhances clinical query generation but also improves the overall efficiency of medical data processing.