Patents by Inventor Katerina Sinclair

Katerina Sinclair 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).

  • Method and system for predicting admission of a human subject to a ward in a medical center
    Patent number: 10607151
    Abstract: A method and a system for predicting admission of a human subject to a first ward in a medical center are disclosed. A patient dataset is generated based on at least a measure of one or more physiological parameters associated with one or more first human subjects and a first information pertaining to the admission of each of the one or more first human subjects to the first ward. For a first human subject of the one or more first human subjects, a first score at each of the one or more first time instants is determined. Further, one or more second time instants from the one or more first time instants are identified. Further, a second score at each of the one or more second time instants is determined. In an embodiment, the first classifier is trained based on at least the second score, and the first information.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: March 31, 2020
    Assignee: Conduent Business Services, LLC
    Inventors: Vaibhav Rajan, Sakyajit Bhattacharya, Vijay Huddar, Abhishek Sengupta, James D Kirkendall, Stephen Fullerton, Katerina Sinclair, Bhupendra Singh Solanki, Prathosh Aragulla Prasad
  • System and method of modeling irregularly sampled temporal data using Kalman filters
    Patent number: 10437944
    Abstract: Systems and methods of modeling irregularly sampled time series signals with unknown temporal dynamics are disclosed wherein a temporal difference variable (TDV) is introduced to model irregular time differences between subsequent measurements. A hierarchical model is designed comprising two linear dynamical systems that model the effects of evolving TDV on temporal observations. All the parameters of the model, including the temporal dynamics, are statistically estimated using historical data.
    Type: Grant
    Filed: March 29, 2016
    Date of Patent: October 8, 2019
    Assignee: Conduent Business Services, LLC
    Inventors: Abhishek Sengupta, Prathosh Aragulla Prasad, Satya Narayan Shukla, Vaibhav Rajan, Katerina Sinclair, Stephen Fullerton
  • SYSTEM AND METHOD OF MODELING IRREGULARLY SAMPLED TEMPORAL DATA USING KALMAN FILTERS
    Publication number: 20170286569
    Abstract: Systems and methods of modeling irregularly sampled time series signals with unknown temporal dynamics are disclosed wherein a temporal difference variable (TDV) is introduced to model irregular time differences between subsequent measurements. A hierarchical model is designed comprising two linear dynamical systems that model the effects of evolving TDV on temporal observations. All the parameters of the model, including the temporal dynamics are statistically estimated using historical data.
    Type: Application
    Filed: March 29, 2016
    Publication date: October 5, 2017
    Inventors: Abhishek Sengupta, Prathosh Aragulla Prasad, Satya Narayan Shukla, Vaibhav Rajan, Katerina Sinclair, Stephen Fullerton
  • METHOD AND SYSTEM FOR PREDICTING ADMISSION OF A HUMAN SUBJECT TO A WARD IN A MEDICAL CENTER
    Publication number: 20170278009
    Abstract: A method and a system for predicting admission of a human subject to a first ward in a medical center are disclosed. A patient dataset is generated based on at least a measure of one or more physiological parameters associated with one or more first human subjects and a first information pertaining to the admission of each of the one or more first human subjects to the first ward. For a first human subject of the one or more first human subjects, a first score at each of the one or more first time instants is determined. Further, one or more second time instants from the one or more first time instants are identified. Further, a second score at each of the one or more second time instants is determined. In an embodiment, the first classifier is trained based on at least the second score, and the first information.
    Type: Application
    Filed: March 22, 2016
    Publication date: September 28, 2017
    Inventors: Vaibhav Rajan, Sakyajit Bhattacharya, Vijay Huddar, Abhishek Sengupta, James D. Kirkendall, Stephen Fullerton, Katerina Sinclair, Bhupendra Singh Solanki, Prathosh Aragulla Prasad