The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 25, 2022

Filed:

Jan. 24, 2019
Applicant:

Uptake Technologies, Inc., Chicago, IL (US);

Inventors:

Michael Jermann, Chicago, IL (US);

John Patrick Boueri, Chicago, IL (US);

Assignee:

UPTAKE TECHNOLOGIES, INC., Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/04 (2006.01); G06F 9/54 (2006.01); G05B 23/02 (2006.01);
U.S. Cl.
CPC ...
G05B 13/048 (2013.01); G05B 13/041 (2013.01); G05B 23/0208 (2013.01); G06F 9/54 (2013.01);
Abstract

Disclosed is a process for creating an event prediction model that employs a data-driven approach for selecting the model's input data variables, which, in one embodiment, involves selecting initial data variables, obtaining a respective set of historical data values for each respective initial data variable, determining a respective difference metric that indicates the extent to which each initial data variable tends to be predictive of an event occurrence, filtering the initial data variables, applying one or more transformations to at least two initial data variables, obtaining a respective set of historical data values for each respective transformed data variable, determining a respective difference metric that indicates the extent to which each transformed data variable tends to be predictive of an event occurrence, filtering the transformed data variables, and using the filtered, transformed data variables as a basis for selecting the input variables of the event prediction model.


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