Patents by Inventor Anthony Michael LaRocca

Anthony Michael LaRocca 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: 20210287117
    Abstract: The technology disclosed relates to real-time payment/incentive system, and performance improvement, forecasting, and benchmarking. The technology disclosed also relates to distributed processing, quality checking, and learning. The disclosed systems and methods rely upon a trusted distributed blockchain database for feature and model storage to effectuate processing of the real-time payments.
    Type: Application
    Filed: March 9, 2021
    Publication date: September 16, 2021
    Inventors: Shahram Shawn Dastmalchi, Rodd Dastmalchi, Anthony Michael LaRocca
  • Patent number: 9639662
    Abstract: Systems and methods to generate a final event stream are provided. The system collects information from a wide variety of sources, and then parses, normalizes, and indexes the information. This generates an initial event stream that can be tagged and then iteratively processed to generate a final event stream. The processing includes first order logic querying and knowledge extraction to infer additional events which is added to the event stream. The final event stream is used by a knowledge exchange for consumption by applications. These applications may be internal applications and/or third party applications. This system may be particularly useful in use with medical information, or any other big data enterprise system.
    Type: Grant
    Filed: May 11, 2015
    Date of Patent: May 2, 2017
    Assignee: APIXIO, INC.
    Inventors: Vishnuvyas Sethumadhavan, Anthony Michael LaRocca, Shahram Shawn Dastmalchi, Robert Derward Rogers, Shamshad Alam Ansari, Imran N. Chaudhri
  • Publication number: 20150347691
    Abstract: Systems and methods to generate a final event stream are provided. The system collects information from a wide variety of sources, and then parses, normalizes, and indexes the information. This generates an initial event stream that can be tagged and then iteratively processed to generate a final event stream. The processing includes first order logic querying and knowledge extraction to infer additional events which is added to the event stream. The final event stream is used by a knowledge exchange for consumption by applications. These applications may be internal applications and/or third party applications. This system may be particularly useful in use with medical information, or any other big data enterprise system.
    Type: Application
    Filed: May 11, 2015
    Publication date: December 3, 2015
    Inventors: Vishnuvyas Sethumadhavan, Anthony Michael LaRocca, Shahram Shawn Dastmalchi, Robert Derward Rogers, Shamshad Alam Ansari, Imran N. Chaudhri
  • Patent number: 9032513
    Abstract: Systems and methods to generate a final event stream are provided. The system collects information from a wide variety of sources, and then parses, normalizes, and indexes the information. This generates an initial event stream that can be tagged and then iteratively processed to generate a final event stream. The processing includes first order logic querying and knowledge extraction to infer additional events which is added to the event stream. The final event stream is used by a knowledge exchange for consumption by applications. These applications may be internal applications and/or third party applications. This system may be particularly useful in use with medical information, or any other big data enterprise system.
    Type: Grant
    Filed: March 2, 2013
    Date of Patent: May 12, 2015
    Assignee: Apixio, Inc.
    Inventors: Vishnuvyas Sethumadhavan, Anthony Michael LaRocca, Shahram Shawn Dastmalchi, Robert Derward Rogers, Shamshad Alam Ansari, Imran N. Chaudhri
  • Publication number: 20130238349
    Abstract: Systems and methods to generate a final event stream are provided. The system collects information from a wide variety of sources, and then parses, normalizes, and indexes the information. This generates an initial event stream that can be tagged and then iteratively processed to generate a final event stream. The processing includes first order logic querying and knowledge extraction to infer additional events which is added to the event stream. The final event stream is used by a knowledge exchange for consumption by applications. These applications may be internal applications and/or third party applications. This system may be particularly useful in use with medical information, or any other big data enterprise system.
    Type: Application
    Filed: March 2, 2013
    Publication date: September 12, 2013
    Inventors: Vishnuvyas Sethumadhavan, Anthony Michael LaRocca, Shahram Shawn Dastmalchi, Robert Derward Rogers, Shamshad Alam Ansari, Imran N. Chaudhri