Patents by Inventor Veronica Aispuro

Veronica Aispuro 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).

  • Predictive data analysis techniques using predictive threshold optimization and probabilistic automated programming
    Patent number: 12547915
    Abstract: There is a need for more effective and efficient threshold-based predictive data analysis. This need can be addressed by, for example, solutions for performing predictive threshold optimization using probabilistic automated programming.
    Type: Grant
    Filed: March 4, 2021
    Date of Patent: February 10, 2026
    Assignee: UnitedHealth Group Incorporated
    Inventors: Veronica Aispuro, Anthony Rossini
  • COMPUTER IMPLEMENTED TECHNIQUES FOR SAMPLE OPTIMIZATION
    Publication number: 20250125023
    Abstract: Systems and methods are disclosed for an automated process for determining an optimal sample size for a contract. The method includes receiving response data including response scores to queries from data collection objects. A sampling distribution is determined for each of sample sizes based on the response scores. A significance threshold and a reliability coefficient is determined for each of the sample sizes. A probability for each of star values for the sample sizes is determined based on a cumulative distributive function of the sampling distribution and parameters of an adjustment grid. An expected star value for each of the sample sizes is determined based on the probability determined for each of the star values. The expected star value is presented in a user interface of a device, wherein at least one of the sample sizes with a highest expected star value is recommended as the optimal sample size.
    Type: Application
    Filed: October 13, 2023
    Publication date: April 17, 2025
    Inventors: Veronica AISPURO, Ciarán McKENNA, Guanghui CHEN
  • PREDICTIVE DATA ANALYSIS TECHNIQUES USING PREDICTIVE THRESHOLD OPTIMIZATION AND PROBABILISTIC AUTOMATED PROGRAMMING
    Publication number: 20220284331
    Abstract: There is a need for more effective and efficient threshold-based predictive data analysis. This need can be addressed by, for example, solutions for performing predictive threshold optimization using probabilistic automated programming.
    Type: Application
    Filed: March 4, 2021
    Publication date: September 8, 2022
    Inventors: Veronica Aispuro, Anthony Rossini