CPC G09B 19/00 (2013.01) [A61B 5/14532 (2013.01); A61B 5/7267 (2013.01); G09B 19/0092 (2013.01)] | 20 Claims |
1. A method of generating a recommendation based on a classification of a glucose response of a user, the method comprising:
receiving an input comprising at least three blood glucose values of the user measured by at least one first sensor over a first period;
assigning a first classification to the input using a first classifier trained using machine learning using historical glucose values of the user measured by the at least one first sensor and which classifies the input according to a variability of the at least three blood glucose values measured by the at least one first sensor, the first classification associated with a glucose sensitivity due to lifestyle of the user;
generating a modified input by applying a bias correction to the input;
assigning a second classification to the modified input using a second classifier, the second classification associated with glycemic load of a recent meal, a recent food, or a recent activity;
determining a score for the user's glucose response during the first period based on the first classification and the second classification;
determining that the score passes a recommendation threshold; and
outputting to a display a user recommendation relating to the recent meal, the recent food, or the recent activity based on the score.
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