Patents by Inventor Renato R. Cazangi

Renato R. Cazangi 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).

  • Medical data prediction method using genetic algorithms
    Patent number: 8671066
    Abstract: A method may use a genetic algorithm to varying prediction parameters in forecasting software to obtain optimal predictions is disclosed. The method identifies parameters that can be varied and by modifying the parameters, the predictions of the forecasting software improve. The method uses sample data to train and validate the forecast and the optimal forecasting parameters are determined.
    Type: Grant
    Filed: December 30, 2010
    Date of Patent: March 11, 2014
    Assignee: Microsoft Corporation
    Inventors: Michael Gillam, Renato R. Cazangi, Alexey P. Kontsevoy, Uri Kartoun
  • Automated clustering for patient disposition
    Patent number: 8589187
    Abstract: The described concepts relate to automated patient disposition. One example can receive a clinician's disposition for a patient. This implementation can perform parameter-based cluster analysis on the patient and a set of patients to identify a sub-set of the patients with which the patient has a high similarity. This example can also cause a graphical user interface to be generated that conveys parameters from the sub-set of the patients and the patient.
    Type: Grant
    Filed: December 28, 2010
    Date of Patent: November 19, 2013
    Assignee: Microsoft Corporation
    Inventors: Michael T. Gillam, Renato R. Cazangi, Alexey P. Kontsevoy, Uri Kartoun, Hao Fang Wu
  • MEDICAL DATA PREDICTION METHOD USING GENETIC ALGORITHMS
    Publication number: 20120173468
    Abstract: A method may use a genetic algorithm to varying prediction parameters in forecasting software to obtain optimal predictions is disclosed. The method identifies parameters that can be varied and by modifying the parameters, the predictions of the forecasting software improve. The method uses sample data to train and validate the forecast and the optimal forecasting parameters are determined.
    Type: Application
    Filed: December 30, 2010
    Publication date: July 5, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: MICHAEL TODD GILLAM, Renato R. Cazangi, Alexey P. Kontsevoy, Uri Kartoun
  • AUTOMATED CLUSTERING FOR PATIENT DISPOSITION
    Publication number: 20120166208
    Abstract: The described concepts relate to automated patient disposition. One example can receive a clinician's disposition for a patient. This implementation can perform parameter-based cluster analysis on the patient and a set of patients to identify a sub-set of the patients with which the patient has a high similarity. This example can also cause a graphical user interface to be generated that conveys parameters from the sub-set of the patients and the patient.
    Type: Application
    Filed: December 28, 2010
    Publication date: June 28, 2012
    Applicant: Microsoft Corporation
    Inventors: Michael T. Gillam, Renato R. Cazangi, Alexey P. Kontsevoy, Uri Kartoun, Hao Fang Wu