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:
May. 23, 2023

Filed:

Nov. 20, 2020
Applicant:

Dexcom, Inc., San Diego, CA (US);

Inventors:

Andrew Parker, San Diego, CA (US);

Neha Vyas, San Diego, CA (US);

Christopher Hannemann, San Diego, CA (US);

Assignee:

Dexcom, Inc., San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/145 (2006.01); A61B 5/00 (2006.01); G16H 40/67 (2018.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01); G16H 20/30 (2018.01);
U.S. Cl.
CPC ...
A61B 5/14532 (2013.01); A61B 5/0004 (2013.01); A61B 5/0022 (2013.01); A61B 5/14503 (2013.01); A61B 5/6801 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 5/742 (2013.01); A61B 5/7405 (2013.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 20/30 (2018.01);
Abstract

Recommendations based on continuous glucose monitoring (CGM) are described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform processes these measurements and the additional data to predict a health indicator by using models. This prediction serves as a basis for generating a recommendation, such as a message recommending the user take action or adopt a behavior to mitigate a predicted negative health condition.


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