Patents by Inventor Tyler Folta

Tyler Folta 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).

  • Implementation of machine-learning based query construction and pattern identification through visualization in user interfaces
    Patent number: 11450434
    Abstract: A computer system, computer-implemented method, and computer program product include a processor(s) (executing code) that obtains a data set(s) related to a patient population diagnosed with a medical condition a database(s). The processor(s) identifies common features, generates patterns of the common features, and generates machine learning algorithms based on the patterns to identify presence or absence of the given medical condition in an undiagnosed patient. The processor(s) compiles a training set of data and tunes the machine learning algorithms with the training set of data. The processor(s) integrates the machine learning algorithms into a graphical user interface.
    Type: Grant
    Filed: December 20, 2019
    Date of Patent: September 20, 2022
    Inventors: Chris Miller, Tyler Folta, Tara Grabowsky, Oodaye Shukla
  • IMPLEMENTATION OF MACHINE-LEARNING BASED QUERY CONSTRUCTION AND PATTERN IDENTIFICATION THROUGH VISUALIZATION IN USER INTERFACES
    Publication number: 20200303071
    Abstract: A computer system, computer-implemented method, and computer program product include a processor(s) (executing code) that obtains a data set(s) related to a patient population diagnosed with a medical condition a database(s). The processor(s) identifies common features, generates patterns of the common features, and generates machine learning algorithms based on the patterns to identify presence or absence of the given medical condition in an undiagnosed patient. The processor(s) compiles a training set of data and tunes the machine learning algorithms with the training set of data. The processor(s) integrates the machine learning algorithms into a graphical user interface.
    Type: Application
    Filed: December 20, 2019
    Publication date: September 24, 2020
    Inventors: Chris Miller, Tyler Folta, Tara Grabowsky, Oodaye Shukla