Patents by Inventor Lena Dyrved

Lena Dyrved 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).

  • Optimization of investigator and site location identification
    Patent number: 12106194
    Abstract: A computer-implemented method includes a machine learning system receiving distinct types of data associated with multiple individual entities. For each of the individual entities, the machine learning system determines a first attribute that indicates a predicted attribute of the entity based on analysis of the data. The machine learning system also determines a second attribute that indicates a predicted quality attribute of the entity, based on analysis of the data. An attribute weighting module of the machine learning system generates weight values for each of the first attribute and the second attribute of the entity. The machine learning system generates a data structure that identifies a set of entities from among the multiple individual entities, where entities of the set are ranked based on a tier indicator that corresponds to either the first attribute, the second attribute, or both.
    Type: Grant
    Filed: November 22, 2021
    Date of Patent: October 1, 2024
    Assignee: IQVIA Inc.
    Inventors: Kristy Morgan, Mark Boone Brown, Natalia Balko, April Lewis, Lucas Glass, Elizabeth Bodine, Lena Dyrved, Esther Van Hulten, Masha Kazantseva
  • Optimization of investigator and site location identification
    Patent number: 11210606
    Abstract: A computer-implemented method includes a machine learning system receiving distinct types of data associated with multiple individual entities. For each of the individual entities, the machine learning system determines a first attribute that indicates a predicted attribute of the entity based on analysis of the data. The machine learning system also determines a second attribute that indicates a predicted quality attribute of the entity, based on analysis of the data. An attribute weighting module of the machine learning system generates weight values for each of the first attribute and the second attribute of the entity. The machine learning system generates a data structure that identifies a set of entities from among the multiple individual entities, where entities of the set are ranked based on a tier indicator that corresponds to either the first attribute, the second attribute, or both.
    Type: Grant
    Filed: October 16, 2017
    Date of Patent: December 28, 2021
    Assignee: IQVIA Inc.
    Inventors: Kristy Morgan, Mark Boone Brown, Natalia Balko, April Lewis, Lucas Glass, Elizabeth Bodine, Lena Dyrved, Esther Van Hulten, Masha Kazantseva