Patents by Inventor Yinghong Fu

Yinghong Fu 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: 10943691
    Abstract: Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.
    Type: Grant
    Filed: January 16, 2020
    Date of Patent: March 9, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Thomas D. Perry, Meghan Hildebrand Fotopoulos, Kreshnik Ahmeti, Liubao Wei, Xavier Ferragut, Santhosh George, Yinghong Fu
  • Patent number: 10699808
    Abstract: Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.
    Type: Grant
    Filed: December 5, 2016
    Date of Patent: June 30, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Thomas D. Perry, Meghan Hildebrand Fotopoulos, Kreshnik Ahmeti, Liubao Wei, Xavier Ferragut, Santhosh George, Yinghong Fu
  • Publication number: 20200152321
    Abstract: Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.
    Type: Application
    Filed: January 16, 2020
    Publication date: May 14, 2020
    Inventors: Thomas D. Perry, Meghan Hildebrand Fotopoulos, Kreshnik Ahmeti, Liubao Wei, Xavier Ferragut, Santhosh George, Yinghong Fu
  • Publication number: 20180157797
    Abstract: Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.
    Type: Application
    Filed: December 5, 2016
    Publication date: June 7, 2018
    Inventors: Thomas D. Perry, Meghan Hildebrand Fotopoulos, Kreshnik Ahmeti, Liubao Wei, Xavier Ferragut, Santhosh George, Yinghong Fu