Patents Assigned to Digital Infuzion, Inc.
  • Systems and methods for managing clinical research
    Patent number: 11049596
    Abstract: The disclosure relates to a computer system for managing medical research data. The computer system may include a network interface connecting the computer system a plurality of data providers. The computer system may include a plurality of data adaptors, each data adaptor configured to communicate with one or more of the data providers to obtain data in a respective data format. The computer system may include a data processor configured to control processing resources based on a volume of data obtained from the plurality of data providers. The computer system may include a plurality of data converters executed by the processing resources, each data converter configured to convert the obtained data from a corresponding data adaptor in the respective data format to a common data format including first metadata based on the obtained data. The computer system may include a data repository for storing data in the common data format.
    Type: Grant
    Filed: November 16, 2018
    Date of Patent: June 29, 2021
    Assignee: DIGITAL INFUZION, INC.
    Inventor: Hemant V. Virkar
  • Machine learning method that modifies a core of a machine to adjust for a weight and selects a trained machine comprising a sequential minimal optimization (SMO) algorithm
    Patent number: 9082083
    Abstract: Methods for training machines to categorize data, and/or recognize patterns in data, and machines and systems so trained. More specifically, variations of the invention relates to methods for training machines that include providing one or more training data samples encompassing one or more data classes, identifying patterns in the one or more training data samples, providing one or more data samples representing one or more unknown classes of data, identifying patterns in the one or more of the data samples of unknown class(es), and predicting one or more classes to which the data samples of unknown class(es) belong by comparing patterns identified in said one or more data samples of unknown class with patterns identified in said one or more training data samples.
    Type: Grant
    Filed: January 22, 2013
    Date of Patent: July 14, 2015
    Assignee: DIGITAL INFUZION, INC.
    Inventors: Hemant Virkar, Karen Stark, Jacob Borgman
  • MACHINE LEARNING METHODS AND SYSTEMS FOR IDENTIFYING PATTERNS IN DATA
    Publication number: 20130238533
    Abstract: Methods for training machines to categorize data, and/or recognize patterns in data, and machines and systems so trained. More specifically, variations of the invention relates to methods for training machines that include providing one or more training data samples encompassing one or more data classes, identifying patterns in the one or more training data samples, providing one or more data samples representing one or more unknown classes of data, identifying patterns in the one or more of the data samples of unknown class(es), and predicting one or more classes to which the data samples of unknown class(es) belong by comparing patterns identified in said one or more data samples of unknown class with patterns identified in said one or more training data samples.
    Type: Application
    Filed: January 22, 2013
    Publication date: September 12, 2013
    Applicant: Digital Infuzion, Inc.
    Inventors: Hemant VIRKAR, Karen Stark, Jacob Borgman
  • Machine learning methods and systems for identifying patterns in data using a plurality of learning machines wherein the learning machine that optimizes a performance function is selected
    Patent number: 8386401
    Abstract: Methods for training machines to categorize data, and/or recognize patterns in data, and machines and systems so trained. More specifically, variations of the invention relates to methods for training machines that include providing one or more training data samples encompassing one or more data classes, identifying patterns in the one or more training data samples, providing one or more data samples representing one or more unknown classes of data, identifying patterns in the one or more of the data samples of unknown class(es), and predicting one or more classes to which the data samples of unknown class(es) belong by comparing patterns identified in said one or more data samples of unknown class with patterns identified in said one or more training data samples.
    Type: Grant
    Filed: September 10, 2009
    Date of Patent: February 26, 2013
    Assignee: Digital Infuzion, Inc.
    Inventors: Hemant Virkar, Karen Stark, Jacob Borgman
  • MACHINE LEARNING METHODS AND SYSTEMS FOR IDENTIFYING PATTERNS IN DATA
    Publication number: 20100063948
    Abstract: Methods for training machines to categorize data, and/or recognize patterns in data, and machines and systems so trained. More specifically, variations of the invention relates to methods for training machines that include providing one or more training data samples encompassing one or more data classes, identifying patterns in the one or more training data samples, providing one or more data samples representing one or more unknown classes of data, identifying patterns in the one or more of the data samples of unknown class(es), and predicting one or more classes to which the data samples of unknown class(es) belong by comparing patterns identified in said one or more data samples of unknown class with patterns identified in said one or more training data samples.
    Type: Application
    Filed: September 10, 2009
    Publication date: March 11, 2010
    Applicant: DIGITAL INFUZION, INC.
    Inventors: Hemant VIRKAR, Karen Stark, Jacob Borgman