Patents by Inventor Maureen E. Calkins

Maureen E. Calkins has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12675732
    Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing context-based document classification prediction using a hierarchical attention-based keyword classifier machine learning framework. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform context-based document classification prediction using at least one of techniques using contextual keyword classifications, techniques using attention-based keyword classifier machine learning framework, techniques using a greedy matching indicator, and/or the like.
    Type: Grant
    Filed: April 27, 2022
    Date of Patent: July 7, 2026
    Assignee: UnitedHealth Group Incorporated
    Inventors: Rahul Singh, Rakesh P A, Vijaychandar Natesan, Ramesh R. Ganesan, Maureen E. Calkins, Caroline N. Eccleston
  • Publication number: 20250148542
    Abstract: A computer-implemented method includes receiving, by one or more processors, Process Instruction (PI) information containing instructions for adjudicating a healthcare service request based on a primary fact source; dividing, by the one or more processors and using an Artificial Intelligence (AI) model, the instructions into one or more instruction sets; generating, by the one or more processors and the AI model, an input-output mapping for first ones of the one or more instruction sets having a complexity that does not satisfy a complexity threshold; generating, by the one or more processors and the AI model, code for second ones of the one or more instructions sets having the complexity that satisfies the complexity threshold; generating, by the one or more processors and the AI model, a validation input set for the input-output mapping and for the code; and applying, by the one or more processors and the AI model, the validation input set to the input-output mapping and the code to generate a validation ou
    Type: Application
    Filed: September 27, 2024
    Publication date: May 8, 2025
    Inventors: Vijaychandar Natesan, Pawan Kumar Pandey, Ramesh R. Ganesan, Rakesh P A, Jason Glackin, Maureen E. Calkins, Bruce E. Thompson, Christina Lynn Jay, Jerelyn P P, Vishal Gupta, Bakya Sri V, Shivangi Priyadarshini, Lila R. Muhammed, Tejaswi P, Guntupalli Sumanth Naga Deep, Prabhu Vincent, Chethan Rai, Srijan Agrawal
  • Publication number: 20230259809
    Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing context-based document classification prediction using a hierarchical attention-based keyword classifier machine learning framework. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform context-based document classification prediction using at least one of techniques using contextual keyword classifications, techniques using attention-based keyword classifier machine learning framework, techniques using a greedy matching indicator, and/or the like.
    Type: Application
    Filed: April 27, 2022
    Publication date: August 17, 2023
    Inventors: Rahul Singh, Rakesh P A, Vijaychandar Natesan, Ramesh R. Ganesan, Maureen E. Calkins, Caroline N. Eccleston