Patents by Inventor Michael Waskom

Michael Waskom 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).

  • Machine learning extraction of clinical variable values for subjects from clinical record data
    Patent number: 12354720
    Abstract: Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.
    Type: Grant
    Filed: December 20, 2023
    Date of Patent: July 8, 2025
    Assignee: Flatiron Health, Inc.
    Inventors: Brett Wittmershaus, Guy Amster, Michael Waskom, Natalie Roher, Nisha Singh, Sharang Phadke, Will Shapiro
  • MACHINE LEARNING EXTRACTION OF CLINICAL VARIABLE VALUES FOR SUBJECTS FROM CLINICAL RECORD DATA
    Publication number: 20240347150
    Abstract: Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.
    Type: Application
    Filed: December 20, 2023
    Publication date: October 17, 2024
    Applicant: Flatiron Health, Inc.
    Inventors: Brett Wittmershaus, Guy Amster, Michael Waskom, Natalie Roher, Nisha Singh, Sharang Phadke, Will Shapiro
  • Machine learning extraction of clinical variable values for subjects from clinical record data
    Patent number: 11854675
    Abstract: Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.
    Type: Grant
    Filed: October 11, 2022
    Date of Patent: December 26, 2023
    Assignee: Flatiron Health, Inc.
    Inventors: Brett Wittmershaus, Guy Amster, Michael Waskom, Natalie Roher, Nisha Singh, Sharang Phadke, Will Shapiro