Patents by Inventor Jill CATES

Jill CATES 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).

  • Publication number: 20220292405
    Abstract: Some embodiments relate to methods, systems, and frameworks for data analytics using machine learning, such as methods and systems for preprocessing of biomedical data, using machine learning, for input to a predictive model. The method may include receiving data from a data source, using at least one machine learning (ML) algorithm from a plurality of ML algorithms to obtain at least one combination of preprocessing steps, and computing an accuracy score for each of the at least one combination based on accuracy of prediction of the predictive model. The method may further include using at least one ML algorithm to optimize the feature selection of the predictive model, combining a plurality of datasets into a single dataset, and using a parallel computing network to provide a framework for executing such predictive model.
    Type: Application
    Filed: June 3, 2022
    Publication date: September 15, 2022
    Applicant: BioSymetrics, Inc.
    Inventors: Victoria CATTERSON, Babak AFSHIN-POUR, Cindy LOPES, Jill CATES, Anthony IACOVONE, Gabriel MUSSO
  • Publication number: 20210035017
    Abstract: Some embodiments relate to methods, systems, and frameworks for data analytics using machine learning, such as methods and systems for preprocessing of biomedical data, using machine learning, for input to a predictive model. The method may include receiving data from a data source, using at least one machine learning (ML) algorithm from a plurality of ML algorithms to obtain at least one combination of preprocessing steps, and computing an accuracy score for each of the at least one combination based on accuracy of prediction of the predictive model. The method may further include using at least one ML algorithm to optimize the feature selection of the predictive model, combining a plurality of datasets into a single dataset, and using a parallel computing network to provide a framework for executing such predictive model.
    Type: Application
    Filed: July 31, 2019
    Publication date: February 4, 2021
    Inventors: Victoria CATTERSON, Babak AFSHIN-POUR, Cindy LOPES, Jill CATES, Anthony IACOVONE, Gabriel MUSSO