Patents by Inventor Johanna Marie De Bont

Johanna Marie De Bont 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).

  • Pattern discovery visual analytics system to analyze characteristics of clinical data and generate patient cohorts
    Patent number: 11087860
    Abstract: In pattern discovery visual analytics, a patient data table (14) is generated that tabulates, for each patient, attribute values for a set of attributes. A positive or negative prediction is generated for each patient for a target value of a target attribute using a prediction pattern (20) of attribute values for w attributes (22). The prediction is positive if at least a threshold fraction (26) of the w attributes of the patient match the prediction pattern, is negative otherwise. Patients are grouped into a selected proportion of a confusion matrix (30) in accord with the positive or negative predictions and actual values of the target attribute T in the patient data table. A display component (4) displays a representation (42) of patient statistics for the selected proportion of the confusion matrix on a per-attribute basis for attributes of the w attributes. A patient cohort (44) is identified using the representation.
    Type: Grant
    Filed: October 19, 2016
    Date of Patent: August 10, 2021
    Assignee: Koninklijke Philips N.V.
    Inventors: Tak Ming Chan, Choo Chiap Chiau, Niels Roman Rotgans, Niels Laute, Jurriën Carl Gosselink, Johanna Marie De Bont
  • PATTERN DISCOVERY VISUAL ANALYTICS SYSTEM TO ANALYZE CHARACTERISTICS OF CLINICAL DATA AND GENERATE PATIENT COHORTS
    Publication number: 20180300454
    Abstract: In pattern discovery visual analytics, a patient data table (14) is generated that tabulates, for each patient, attribute values for a set of attributes. A positive or negative prediction is generated for each patient for a target value of a target attribute using a prediction pattern (20) of attribute values for w attributes (22). The prediction is positive if at least a threshold fraction (26) of the w attributes of the patient match the prediction pattern, is negative otherwise. Patients are grouped into a selected proportion of a confusion matrix (30) in accord with the positive or negative predictions and actual values of the target attribute T in the patient data table. A display component (4) displays a representation (42) of patient statistics for the selected proportion of the confusion matrix on a per-attribute basis for attributes of the w attributes. A patient cohort (44) is identified using the representation.
    Type: Application
    Filed: October 19, 2016
    Publication date: October 18, 2018
    Inventors: Tak Ming Chan, Choo Chiap Chiau, Niels Roman Rotgans, Niels Laute, Jurriën Carl Gosselink, Johanna Marie De Bont