Patents by Inventor William Drayton Taylor

William Drayton Taylor 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).

  • Integrative machine learning framework for combining sentiment-based and symptom-based predictive inferences
    Patent number: 11557399
    Abstract: Techniques for integrative machine learning using sentiment-based predictive inferences and symptom-based predictive are discussed herein. In one example, a method includes determining, based on one or more health monitoring logs, a first distribution of symptomatic prediction labels over a first period of time associated with the one or more health monitoring logs; processing the one or more health monitoring logs and using a sentiment detection machine learning model to determine a second distribution of extracted sentiment scores over the first period of time; generating, based on the first distribution and the second distribution, an aggregate distribution of inferred health-related predictions over the first period of time; and causing display of an aggregate distribution user interface that is configured to display the aggregate distribution.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: January 17, 2023
    Assignee: Optum, Inc.
    Inventors: Corey D. McMillan, William Alexander Wood, Austin Schick, Donald Landrum, Columbus Dong, Rachel Szabo, William Drayton Taylor, Austin T. Gansz
  • INTEGRATIVE MACHINE LEARNING FRAMEWORK FOR COMBINING SENTIMENT-BASED AND SYMPTOM-BASED PREDICTIVE INFERENCES
    Publication number: 20210343406
    Abstract: Techniques for integrative machine learning using sentiment-based predictive inferences and symptom-based predictive are discussed herein. In one example, a method includes determining, based on one or more health monitoring logs, a first distribution of symptomatic prediction labels over a first period of time associated with the one or more health monitoring logs; processing the one or more health monitoring logs and using a sentiment detection machine learning model to determine a second distribution of extracted sentiment scores over the first period of time; generating, based on the first distribution and the second distribution, an aggregate distribution of inferred health-related predictions over the first period of time; and causing display of an aggregate distribution user interface that is configured to display the aggregate distribution.
    Type: Application
    Filed: April 30, 2020
    Publication date: November 4, 2021
    Inventors: Corey D. McMillan, William Alexander Wood, Austin Schick, Donald Landrum, Columbus Dong, Rachel Szabo, William Drayton Taylor, Austin T. Gansz