Patents by Inventor Amit Sheth

Amit Sheth 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: 20240202435
    Abstract: In an embodiment, a set of related documents (105) is selected (305). Each document may include at least one table of data (107). The tables may not include semantic or structural data that can be used to understand the data in the tables. Each table is processed to determine a schema for the table that includes a name and type for each column of the table (320). A consolidated schema is received for a consolidated table (320). The consolidated schema includes a name and type for each column of the consolidated table. The data from each table is extracted from the table and added to the consolidated table based on the schema associated with the table and the schema associated with the consolidated table (325). Later, the data in the consolidated table can be visualized to help identify one or more trends (400).
    Type: Application
    Filed: February 16, 2022
    Publication date: June 20, 2024
    Inventors: Goonmeet Kaur BAJAJ, Srinivasan Parthasarathy, Amit Sheth, Ugur Kursuncu
  • Patent number: 10509889
    Abstract: A system and method utilizing deep clinical knowledge represented as a knowledge-graph to complement and enhance Natural Language Processing (NLP) for efficient and high-quality computer assisted coding of medical text. One embodiment utilizes the International Classification of Diseases version-10 Procedural Coding System (ICD-10-PCS). The system uses multiple knowledge bases combined with direct mapping provided by the ICD-10-PCS standard to enhance the coverage of assigned code. The system identifies ICD-10-PCS code considering hierarchical mapping and identifies the code by individual ICD-10-PCS character.
    Type: Grant
    Filed: October 21, 2015
    Date of Patent: December 17, 2019
    Assignee: ezDI, Inc.
    Inventors: Nehal Shah, Amit Sheth, Shreyansh Bhatt, Raxit Goswami, Vatsal Shah, Rahil Kanani, Amrish Patel, Parth Pathak
  • Publication number: 20160132648
    Abstract: A system and method utilizing deep clinical knowledge represented as a knowledge-graph to complement and enhance Natural Language Processing (NLP) for efficient and high-quality computer assisted coding of medical text. One embodiment utilizes the International Classification of Diseases version-10 Procedural Coding System (ICD-10-PCS). The system uses multiple knowledge bases combined with direct mapping provided by the ICD-10-PCS standard to enhance the coverage of assigned code. The system identifies ICD-10-PCS code considering hierarchical mapping and identifies the code by individual ICD-10-PCS character.
    Type: Application
    Filed: October 21, 2015
    Publication date: May 12, 2016
    Applicant: ezDI, LLC
    Inventors: Nehal Shah, Amit Sheth, Shreyansh Bhatt, Raxit Goswami, Vatsal Shah, Rahil Kanani, Amrish Patel, Parth Pathak
  • Patent number: 8688791
    Abstract: The present invention generally relates to methods and systems for analysis of real-time user-generated text messages. The methods and systems allow analysis to be performed using term associations and geographical and temporal constraints.
    Type: Grant
    Filed: February 16, 2011
    Date of Patent: April 1, 2014
    Assignee: Wright State University
    Inventors: Amit Sheth, Karthik Gomadam, Meenakshi Nagarajan
  • Publication number: 20120042022
    Abstract: The present invention generally relates to methods and systems for analysis of real-time user-generated text messages. The methods and systems allow analysis to be performed using term associations and geographical and temporal constraints.
    Type: Application
    Filed: February 16, 2011
    Publication date: February 16, 2012
    Applicant: WRIGHT STATE UNIVERSITY
    Inventors: Amit Sheth, Karthik Gomadam, Meenakshi Nagarajan
  • Patent number: 6311194
    Abstract: A system and method for creating a database of metadata (metabase) of a variety of digital media content, including TV and radio content delivered on Internet. This semantic-based method captures and enhances domain or subject specific metadata of digital media content, including the specific meaning and intended use of original content. To support semantics, a WorldModel is provided that includes specific domain knowledge, ontologies as well as a set of rules relevant to the original content. The metabase may also be dynamic in that it may track changes to the any variety of accessible content, including live and archival TV and radio programming.
    Type: Grant
    Filed: August 21, 2000
    Date of Patent: October 30, 2001
    Assignee: Taalee, Inc.
    Inventors: Amit Sheth, David Avant, Clemens Bertram