Patents by Inventor Vivek G. Raman

Vivek G. Raman 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).

  • Methods and systems for predicting health condition of human subjects
    Patent number: 9870449
    Abstract: Disclosed are methods and systems for classifying one or more human subjects in one or more categories indicative of a health condition of the one or more human subjects. The method includes categorizing one or more parameters of each of the one or more human subjects in one or more data views based on a data type of each of the one or more parameters. A data view corresponds to a first data structure storing a set of parameters categorized in the data view, associated with each of the one or more human subjects. The one or more data views are transformed to a second data structure representative of the set of parameters across the one or more data views. Thereafter, a classifier is trained based on the second data structure, wherein the classifier classifies the one or more human subjects in the one or more categories.
    Type: Grant
    Filed: February 24, 2015
    Date of Patent: January 16, 2018
    Assignee: CONDUENT BUSINESS SERVICES, LLC
    Inventors: Vaibhav Rajan, Abhishek Tripathi, Sakyajit Bhattacharya, Ranjan Shetty K, Amith Sitaram, Vivek G Raman
  • METHODS AND SYSTEMS FOR PREDICTING HEALTH CONDITION OF HUMAN SUBJECTS
    Publication number: 20160246931
    Abstract: Disclosed are methods and systems for classifying one or more human subjects in one or more categories indicative of a health condition of the one or more human subjects. The method includes categorizing one or more parameters of each of the one or more human subjects in one or more data views based on a data type of each of the one or more parameters. A data view corresponds to a first data structure storing a set of parameters categorized in the data view, associated with each of the one or more human subjects. The one or more data views are transformed to a second data structure representative of the set of parameters across the one or more data views. Thereafter, a classifier is trained based on the second data structure, wherein the classifier classifies the one or more human subjects in the one or more categories.
    Type: Application
    Filed: February 24, 2015
    Publication date: August 25, 2016
    Inventors: VAIBHAV RAJAN, ABHISHEK TRIPATHI, Sakyajit Bhattacharya, Ranjan Shetty K, Amith Sitaram, Vivek G. Raman
  • METHODS AND SYSTEMS FOR PREDICTING HEALTH CONDITION OF HUMAN SUBJECT
    Publication number: 20150302155
    Abstract: Disclosed are the methods and systems for classifying one or more patients in one or more categories. A distribution of one or more physiological parameters associated with the one or more patients is determined based on a patient dataset. The one or more physiological parameters correspond to at least a stroke scale score. One or more parameters associated with a copula are estimated by the one or more processors. In an embodiment, the copula defines a joint distribution of the one or more physiological parameters. A classifier is created based on the one or more parameters, wherein the classifier classifies the one or more patients in the one or more categories. The one or more categories correspond to a range of the stroke scale score.
    Type: Application
    Filed: April 16, 2014
    Publication date: October 22, 2015
    Applicant: Xerox Corporation
    Inventors: Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty K, Amith Sitaram, Vivek G. Raman