Patents by Inventor Pulla R. Yeduru

Pulla R. Yeduru 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).

  • Methods and systems for automatic prescription processing using machine learning algorithm
    Patent number: 11848086
    Abstract: Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a plurality of machine learning algorithms in predicting a value of a required pharmacy element of a prescription are identified, each of the plurality of machine learning algorithms are trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, respective success rates for each of the plurality of machine learning algorithms at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and a first of the plurality of machine learning algorithms having a highest success rate is selected to predict the value of the required pharmacy element of the prescription for a first predetermined period.
    Type: Grant
    Filed: November 28, 2022
    Date of Patent: December 19, 2023
    Assignee: Express Scripts Strategic Development, Inc.
    Inventors: Sudipto Dey, Camille Patel, Pulla R. Yeduru, Robert Seyss
  • Methods and systems for automatic prescription processing using machine learning algorithm
    Patent number: 11515022
    Abstract: Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a plurality of machine learning algorithms in predicting a value of a required pharmacy element of a prescription are identified, each of the plurality of machine learning algorithms are trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, respective success rates for each of the plurality of machine learning algorithms at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and a first of the plurality of machine learning algorithms having a highest success rate is selected to predict the value of the required pharmacy element of the prescription for a first predetermined period.
    Type: Grant
    Filed: February 11, 2019
    Date of Patent: November 29, 2022
    Assignee: Express Scripts Strategic Development, Inc.
    Inventors: Sudipto Dey, Camille Patel, Pulla R. Yeduru, Robert Seyss