Extracting facts from unstructured data

US10783448B2 · kind B2 · utility

Assignee

• Flatiron Health, Inc. · US

Inventors

• Gil Shklarski · New York, US
• Amy Abernethy · Cary, US
• Benjamin Birnbaum · Brooklyn, US
• Geoffrey Calkins · Brooklyn, US
• Dominique Connolly · Jersey City, US
• Joseph Delgado · New York, US
• Joseph DiLallo · Levittown, US
• James Dura · New York, US
• Daniel Eisenberg · New York, US
• Lauren Ellsworth · Brooklyn, US
• Ross Feinstein · New York, US
• Jeremy Feinstein · New York, US
• Caitlin Keenan · New York, US
• Jeremy Kohansimeh · New York, US
• Dennis J. Lee · New York, US
• Elijah Meerson · Brooklyn, US
• Catherine Miller · Raleigh, US
• Joseph Mou · Brooklyn, US
• Nathan Nussbaum · Millburn, US
• Cynthia Revol · Dallas, US
• Paul Stephen Richardson · Brooklyn, US
• Maayan Roth · Brooklyn, US
• Melisa Tucker · Brooklyn, US
• Nathaniel Turner · New York, US
• Zachary Weinberg · New York, US
• Paul You · Brooklyn, US

Key dates

• Filing date: Jul 15, 2016
• Grant date: Sep 22, 2020
• Expiry date: Jul 27, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Medical technology
• WIPO sector: Instruments

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.