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.
Patent No.:
Date of Patent:
Oct. 29, 2024
Filed:
Mar. 01, 2022
C/hca, Inc., Nashville, TN (US);
Scott Murray, Lemmesaw, GA (US);
Dan Nguyen, Tampa, FL (US);
Janet McCallister, Tallahassee, FL (US);
Tara Haines, Tallahassee, FL (US);
Erica Williams, Cairo, GA (US);
George Tucker, Orange Park, FL (US);
Heather Fuller, Tallahassee, FL (US);
Randy Scott Fagin, Nashville, TN (US);
Thomas Neal Payne, Austin, TX (US);
Sarah Dhane, Austin, TX (US);
James E. Hicks, Spring Hill, TN (US);
Christopher Anthony, Franklin, TN (US);
Chigger Bynum, Nashville, TN (US);
Brooke Hamilton, Nashville, TN (US);
Hannah Marshall, Asheville, NC (US);
Megan McGee, Nashville, TN (US);
Edmund Jackson, Nashville, TN (US);
C/HCA, Inc., Nashville, TN (US);
Abstract
Approaches are provided for a prediction model determining a prediction indicative of the authorized user being associated with at least one anomaly event. In one example, a computer system may receive data from different sources. For example, the system may receive data associated with use of one or more monitored units of an automated storage and retrieval location. The system may also receive request data associated with a request for execution of the monitored controlled unit by an authorized user to a target user. The prediction model of the system may utilize the received data to determine the prediction that the authorized user is associated with at least one anomaly event associated with a diversion of a monitored unit away from the target user. The system may then provide the prediction for presentation.