Patents by Inventor Bishal SANTRA

Bishal SANTRA 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).

  • POPULATION MODELING SYSTEM BASED ON MULTIPLE DATA SOURCES HAVING MISSING ENTRIES
    Publication number: 20220138497
    Abstract: A neural network is used to model to model the joint distribution of attributes across multiple health surveys. These multiple health surveys include large scale survey datasets and small scale survey datasets. The neural network model is trained using a combined dataset of the large scale survey datasets and the small scale survey datasets. The large scale survey datasets and the small scale survey datasets may include missing value indicators. The joint distribution of attributes modeled by the neural network model are the used to impute substitute values for the missing values to thereby create an output large scale dataset that does not include missing values.
    Type: Application
    Filed: January 12, 2022
    Publication date: May 5, 2022
    Applicant: CONDUENT BUSINESS SERVICES, LLC
    Inventors: Bishal SANTRA, Howard MIZES, Kush MOTWANI
  • Population modeling system based on multiple data sources having missing entries
    Patent number: 11256957
    Abstract: A neural network is used to model to model the joint distribution of attributes across multiple health surveys. These multiple health surveys include large scale survey datasets and small scale survey datasets. The neural network model is trained using a combined dataset of the large scale survey datasets and the small scale survey datasets. The large scale survey datasets and the small scale survey datasets may include missing value indicators. The joint distribution of attributes modeled by the neural network model are the used to impute substitute values for the missing values to thereby create an output large scale dataset that does not include missing values.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: February 22, 2022
    Assignee: Conduent Business Services, LLC
    Inventors: Bishal Santra, Howard Mizes, Kush Motwani
  • POPULATION MODELING SYSTEM BASED ON MULTIPLE DATA SOURCES HAVING MISSING ENTRIES
    Publication number: 20210158090
    Abstract: A neural network is used to model to model the joint distribution of attributes across multiple health surveys. These multiple health surveys include large scale survey datasets and small scale survey datasets. The neural network model is trained using a combined dataset of the large scale survey datasets and the small scale survey datasets. The large scale survey datasets and the small scale survey datasets may include missing value indicators. The joint distribution of attributes modeled by the neural network model are the used to impute substitute values for the missing values to thereby create an output large scale dataset that does not include missing values.
    Type: Application
    Filed: November 25, 2019
    Publication date: May 27, 2021
    Applicant: CONDUENT BUSINESS SERVICES, LLC
    Inventors: Bishal SANTRA, Howard MIZES, Kush MOTWANI