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: 11734601Abstract: 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: GrantFiled: May 3, 2019Date of Patent: August 22, 2023Assignee: 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: 11133094Abstract: 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: GrantFiled: September 27, 2017Date of Patent: September 28, 2021Assignee: FLATIRON HEALTH, INC.Inventors: Melisa Tucker, Shannon Lee, Nathan Nussbaum, Dina Levy-Lambert
-
Publication number: 20200410400Abstract: 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: ApplicationFiled: September 11, 2020Publication date: December 31, 2020Applicant: 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: 10783448Abstract: 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: GrantFiled: July 15, 2016Date of Patent: September 22, 2020Assignee: 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: 20190258950Abstract: 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: ApplicationFiled: May 3, 2019Publication date: August 22, 2019Inventors: Benjamin Edward Birnbaum, Joshua Daniel Haimson, Lucy Dao-Ke He, Katharina Nicola Seidl-Rathkopf, Monica Nayan Agrawal, Nathan Nussbaum
-
Patent number: 10304000Abstract: 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: GrantFiled: April 12, 2018Date of Patent: May 28, 2019Assignee: 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: 20180300640Abstract: 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: ApplicationFiled: April 12, 2018Publication date: October 18, 2018Inventors: Benjamin Edward Birnbaum, Joshua Daniel Haimson, Lucy Dao-Ke He, Katharina Nicola Seidl-Rathkopf, Monica Nayan Agrawal, Nathan Nussbaum
-
Publication number: 20180089376Abstract: 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: ApplicationFiled: September 27, 2017Publication date: March 29, 2018Inventors: Melisa TUCKER, Shannon LEE, Nathan NUSSBAUM, Dina LEVY-LAMBERT
-
Publication number: 20170039341Abstract: 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: ApplicationFiled: July 15, 2016Publication date: February 9, 2017Inventors: 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