Patents by Inventor Luke Connors

Luke Connors 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).

  • Publication number: 20220277848
    Abstract: Methods and systems disclosed herein relate generally to generating and using graph models to perform entity-specific mappings to investigatory events. More specifically, data-reliability metrics are used to selectively use proxy nodes in graph-model trajectories during generation of the mappings.
    Type: Application
    Filed: January 6, 2022
    Publication date: September 1, 2022
    Inventors: Niall O'Connor, Mickey Alan Correll, Kathryn Hopkins McGill, Luke Connors, Daniel Schlauch
  • Patent number: 11250953
    Abstract: Methods and systems disclosed herein relate generally to generating and using graph models to perform entity-specific mappings to investigatory events. More specifically, data-reliability metrics are used to selectively use proxy nodes in graph-model trajectories during generation of the mappings.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: February 15, 2022
    Assignee: C/HCA, Inc.
    Inventors: Niall O'Connor, Mickey Alan Correll, Kathryn Hopkins McGill, Luke Connors, Daniel Schlauch
  • Patent number: 10566093
    Abstract: Methods and systems disclosed herein relate generally to using graph structures and parent-child node configurations to facilitate data integration across corresponding investigatory events.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: February 18, 2020
    Assignee: C/HCA, Inc.
    Inventors: Niall O'Connor, Mickey Alan Correll, Kathryn Hopkins McGill, Luke Connors, Daniel Schlauch
  • Patent number: 10558709
    Abstract: Methods and systems disclosed herein relate generally to constructing graph models to represent constraints corresponding to various investigatory events and navigating the graph models to identify populations for the investigatory events.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: February 11, 2020
    Assignee: C/HCA, Inc.
    Inventors: Niall O'Connor, Mickey Alan Correll, Kathryn Hopkins McGill, Luke Connors, Daniel Schlauch
  • Publication number: 20190286660
    Abstract: Methods and systems disclosed herein relate generally to constructing graph models to represent constraints corresponding to various investigatory events and navigating the graph models to identify populations for the investigatory events.
    Type: Application
    Filed: March 11, 2019
    Publication date: September 19, 2019
    Applicant: HCA Holdings, Inc.
    Inventors: Niall O'Connor, Mickey Alan Correll, Kathryn Hopkins McGill, Luke Connors, Daniel Schlauch
  • Publication number: 20190287680
    Abstract: Methods and systems disclosed herein relate generally to generating and using graph models to perform entity-specific mappings to investigatory events. More specifically, data-reliability metrics are used to selectively use proxy nodes in graph-model trajectories during generation of the mappings.
    Type: Application
    Filed: March 11, 2019
    Publication date: September 19, 2019
    Inventors: Niall O'Connor, Mickey Alan Correll, Kathryn Hopkins McGill, Luke Connors, Daniel Schlauch
  • Publication number: 20190286661
    Abstract: Methods and systems disclosed herein relate generally to using graph structures and parent-child node configurations to facilitate data integration across corresponding investigatory events.
    Type: Application
    Filed: March 11, 2019
    Publication date: September 19, 2019
    Applicant: HCA Holdings, Inc.
    Inventors: Niall O'Connor, Mickey Alan Correll, Kathryn Hopkins McGill, Luke Connors, Daniel Schlauch