Neural network for glucose therapy recommendation

A multifunctional neural network system for prediction which includes memory components to store previous values of data within a network. The memory components provide the system with the ability to learn relationships/patterns existent in the data over time.
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Abstract/Description: A multifunctional neural network system for prediction which includes memory components to store previous values of data within a network. The memory components provide the system with the ability to learn relationships/patterns existent in the data over time.
Subject(s): 706/20
Date Issued: 2014-06-24
Title: Neural network for glucose therapy recommendation.
Name(s): The University of Toledo, assignee
Cameron, Brent D., inventor
Pappada, Scott M., inventor
Type of Resource: text
Genre: patent
Publisher: United States Patent and Trademark Office
Other Date: Date Filed: 2009-08-14
Date Issued: 2014-06-24
Physical Form: application/pdf
Extent: 26 p.
Abstract/Description: A multifunctional neural network system for prediction which includes memory components to store previous values of data within a network. The memory components provide the system with the ability to learn relationships/patterns existent in the data over time.
Identifier(s): utpatents-US8762306 (IID)
Patent No.: US8762306 (patno)
Appl. No.: 13/058673 (appno)
Subject(s): 706/20
Held by: United States Patent and Trademark Office (USPTO) Public Search Facility
Location: University of Toledo Digital Repository
Rights Statement: No Copyright - United States
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