Patents by Inventor Nathan Nussbaum

Nathan Nussbaum 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).

  • Patent number: 11734601
    Abstract: Systems and methods are disclosed for selecting cohorts. In one implementation, a model-assisted selection system for identifying candidates for placement into a cohort includes a data interface and at least one processing device. The at least one processing device is programmed to access, via the data interface, a database from which feature vectors associated with an individual from among a population of individuals can be derived; derive, for the individual, one or more feature vectors from the database; provide the one or more feature vectors to a model; receive an output from the model; and determine whether the individual from among the population of individuals is a candidate for the cohort based on the output received from the model.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: August 22, 2023
    Assignee: Flatiron Health, Inc.
    Inventors: Benjamin Edward Birnbaum, Joshua Daniel Haimson, Lucy Dao-Ke He, Katharina Nicola Seidl-Rathkopf, Monica Nayan Agrawal, Nathan Nussbaum
  • Patent number: 11133094
    Abstract: Systems and methods are disclosed for visualizing medical data. In one implementation, the systems each comprise a database, a memory that stores a set of instructions and at least one processor in communication with the memory configured to execute the set of instructions so the system may receive the medical data in one or more formats from a plurality of sources, the medical data comprising a plurality of events associated with one or more patients, convert the medical data from the one or more formats to a standardized data format, store the standardized data in the database, receive a query comprising at least one patient characteristic, query the database to identify a patient associated with the at least one patient characteristic, generate a graphical user interface to include the standardized data represented as a timeline of events associated with the identified patient and display the generated graphical user interface.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: September 28, 2021
    Assignee: FLATIRON HEALTH, INC.
    Inventors: Melisa Tucker, Shannon Lee, Nathan Nussbaum, Dina Levy-Lambert
  • Publication number: 20200410400
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, to present a video. One of the methods includes obtaining one or more unstructured documents. The method includes obtaining, by a computer system, a data model, the data model identifying a type of fact that can be determined from the one or more unstructured documents. The method includes determining, by the computer system, a channel to extract facts from the document based on the type of fact. The method includes distributing, by the computer system, the one or more unstructured documents to the channel. The method includes extracting, by the channel, facts from the one or more unstructured documents. The method also includes storing the facts in a data model.
    Type: Application
    Filed: September 11, 2020
    Publication date: December 31, 2020
    Applicant: Flatiron Health, Inc.
    Inventors: Gil Shklarski, Amy Abernethy, Benjamin Birnbaum, Geoffrey Calkins, Dominique Connolly, Joseph Delgado, Joseph DiLallo, James Dura, Daniel Eisenberg, Lauren Ellsworth, Ross Feinstein, Jeremy Feinstein, Caitlin Keenan, Jeremy Kohansimeh, Dennis Lee, Elijah Meerson, Catherine Miller, Joseph Mou, Nathan Nussbaum, Cynthia Revol, Paul Richardson, Maayan Roth, Melisa Tucker, Nathaniel Turner, Zachary Weinberg, Paul You
  • Patent number: 10783448
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, to present a video. One of the methods includes obtaining one or more unstructured documents. The method includes obtaining, by a computer system, a data model, the data model identifying a type of fact that can be determined from the one or more unstructured documents. The method includes determining, by the computer system, a channel to extract facts from the document based on the type of fact. The method includes distributing, by the computer system, the one or more unstructured documents to the channel. The method includes extracting, by the channel, facts from the one or more unstructured documents. The method also includes storing the facts in a data model.
    Type: Grant
    Filed: July 15, 2016
    Date of Patent: September 22, 2020
    Assignee: FLATIRON HEALTH, INC.
    Inventors: Gil Shklarski, Amy Abernethy, Benjamin Birnbaum, Geoffrey Calkins, Dominique Connolly, Joseph Delgado, Joseph DiLallo, James Dura, Daniel Eisenberg, Lauren Ellsworth, Ross Feinstein, Jeremy Feinstein, Caitlin Keenan, Jeremy Kohansimeh, Dennis Lee, Elijah Meerson, Catherine Miller, Joseph Mou, Nathan Nussbaum, Cynthia Revol, Paul Richardson, Maayan Roth, Melisa Tucker, Nathaniel Turner, Zachary Weinberg, Paul You
  • Publication number: 20190258950
    Abstract: Systems and methods are disclosed for selecting cohorts. In one implementation, a model-assisted selection system for identifying candidates for placement into a cohort includes a data interface and at least one processing device. The at least one processing device is programmed to access, via the data interface, a database from which feature vectors associated with an individual from among a population of individuals can be derived; derive, for the individual, one or more feature vectors from the database; provide the one or more feature vectors to a model; receive an output from the model; and determine whether the individual from among the population of individuals is a candidate for the cohort based on the output received from the model.
    Type: Application
    Filed: May 3, 2019
    Publication date: August 22, 2019
    Inventors: Benjamin Edward Birnbaum, Joshua Daniel Haimson, Lucy Dao-Ke He, Katharina Nicola Seidl-Rathkopf, Monica Nayan Agrawal, Nathan Nussbaum
  • Patent number: 10304000
    Abstract: Systems and methods are disclosed for selecting cohorts. In one implementation, a model-assisted selection system for identifying candidates for placement into a cohort includes a data interface and at least one processing device. The at least one processing device is programmed to access, via the data interface, a database from which feature vectors associated with an individual from among a population of individuals can be derived; derive, for the individual, one or more feature vectors from the database; provide the one or more feature vectors to a model; receive an output from the model; and determine whether the individual from among the population of individuals is a candidate for the cohort based on the output received from the model.
    Type: Grant
    Filed: April 12, 2018
    Date of Patent: May 28, 2019
    Assignee: Flatiron Health, Inc.
    Inventors: Benjamin Edward Birnbaum, Joshua Daniel Haimson, Lucy Dao-Ke He, Katharina Nicola Seidl-Rathkopf, Monica Nayan Agrawal, Nathan Nussbaum
  • Publication number: 20180300640
    Abstract: Systems and methods are disclosed for selecting cohorts. In one implementation, a model-assisted selection system for identifying candidates for placement into a cohort includes a data interface and at least one processing device. The at least one processing device is programmed to access, via the data interface, a database from which feature vectors associated with an individual from among a population of individuals can be derived; derive, for the individual, one or more feature vectors from the database; provide the one or more feature vectors to a model; receive an output from the model; and determine whether the individual from among the population of individuals is a candidate for the cohort based on the output received from the model.
    Type: Application
    Filed: April 12, 2018
    Publication date: October 18, 2018
    Inventors: Benjamin Edward Birnbaum, Joshua Daniel Haimson, Lucy Dao-Ke He, Katharina Nicola Seidl-Rathkopf, Monica Nayan Agrawal, Nathan Nussbaum
  • Publication number: 20180089376
    Abstract: Systems and methods are disclosed for visualizing medical data. In one implementation, the systems each comprise a database, a memory that stores a set of instructions and at least one processor in communication with the memory configured to execute the set of instructions so the system may receive the medical data in one or more formats from a plurality of sources, the medical data comprising a plurality of events associated with one or more patients, convert the medical data from the one or more formats to a standardized data format, store the standardized data in the database, receive a query comprising at least one patient characteristic, query the database to identify a patient associated with the at least one patient characteristic, generate a graphical user interface to include the standardized data represented as a timeline of events associated with the identified patient and display the generated graphical user interface.
    Type: Application
    Filed: September 27, 2017
    Publication date: March 29, 2018
    Inventors: Melisa TUCKER, Shannon LEE, Nathan NUSSBAUM, Dina LEVY-LAMBERT
  • Publication number: 20170039341
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, to present a video. One of the methods includes obtaining one or more unstructured documents. The method includes obtaining, by a computer system, a data model, the data model identifying a type of fact that can be determined from the one or more unstructured documents. The method includes determining, by the computer system, a channel to extract facts from the document based on the type of fact. The method includes distributing, by the computer system, the one or more unstructured documents to the channel. The method includes extracting, by the channel, facts from the one or more unstructured documents. The method also includes storing the facts in a data model.
    Type: Application
    Filed: July 15, 2016
    Publication date: February 9, 2017
    Inventors: Gil Shklarski, Amy Abernethy, Benjamin Birnbaum, Geoffrey Calkins, Dominique Connolly, Joseph Delgado, Joseph DiLallo, Andrew Dilling, James Dura, Daniel Eisenberg, Lauren Ellsworth, Ross Feinstein, Jeremy Feinstein, Caitlin Keenan, Jeremy Kohansimeh, Katherine Larrabee, Dennis Lee, Elijah Meerson, Catherine Miller, Joseph Mou, Nathan Nussbaum, Cynthia Revol, Paul Richardson, Maayan Roth, Melisa Tucker, Nathaniel Turner, Zachary Weinberg, Paul You