Patents by Inventor Swadeep Singh

Swadeep Singh 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).

  • Patent number: 12032590
    Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for classifying unstructured data by: (i) generating probability scores of natural language classification labels for classifying unstructured data elements using an NLP-based model, (ii) generating probability scores of structured data classification labels for classifying the unstructured data elements using a classification-based model, and (iii) assigning classifications labels based on: a) the probability scores of the natural language classification labels if a distance measure difference associated with the natural language classification labels is greater than a predetermined distance, or b) a determination using an ensemble model if the distance measure difference is less than a predetermined distance.
    Type: Grant
    Filed: December 28, 2022
    Date of Patent: July 9, 2024
    Assignee: Optum, Inc.
    Inventors: Abhay Shukla, Sarosh S Shetty, Swadeep Singh, John A Hancock
  • Publication number: 20240220511
    Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for classifying unstructured data by: (i) generating probability scores of natural language classification labels for classifying unstructured data elements using an NLP-based model, (ii) generating probability scores of structured data classification labels for classifying the unstructured data elements using a classification-based model, and (iii) assigning classifications labels based on: a) the probability scores of the natural language classification labels if a distance measure difference associated with the natural language classification labels is greater than a predetermined distance, or b) a determination using an ensemble model if the distance measure difference is less than a predetermined distance.
    Type: Application
    Filed: December 28, 2022
    Publication date: July 4, 2024
    Inventors: Abhay Shukla, Sarosh S Shetty, Swadeep Singh, John A Hancock
  • Publication number: 20240029881
    Abstract: A method comprises: for each respective factor of a plurality of factors that affect a risk of surgical error occurring when a surgeon performs a surgery on a patient: obtaining, by a computing system, a factor value for the respective factor; and applying, by the computing system, a machine-learned weight for the respective factor to the factor value for the respective factor to determine a weighted factor value for the respective factor; determining a risk score for the surgery based on the weighted factor values for the factors, wherein the risk score is a measure of the risk of surgical error occurring during the surgery given the factor values for the plurality of factors; and generating, by the computing system, based on the risk score for the surgery, a recommendation regarding the surgery.
    Type: Application
    Filed: July 15, 2022
    Publication date: January 25, 2024
    Inventors: Swadeep Singh, Chandni Nanda, Abhay Shukla