RECOMMENDATIONS BASED ON CONTINUOUS GLUCOSE MONITORING

RECOMMENDATIONS BASED ON CONTINUOUS GLUCOSE MONITORING

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 no...

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Hauptverfasser: VYAS, Neha, HANNEMANN, Christopher, PARKER, Andrew
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Sprache:eng ; fre ; ger
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INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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creator VYAS, Neha
HANNEMANN, Christopher
PARKER, Andrew
description 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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subjects INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
title RECOMMENDATIONS BASED ON CONTINUOUS GLUCOSE MONITORING
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