Abstract: |
A method, a system and a computer program product for forecasting blood glucose concentration. One or more features for training a blood glucose concentration forecasting model are determined. The features are determined based on one or more input data parameters associated with a user in a plurality of users. Using the determined one or more features, the blood glucose concentration forecasting model is trained. Using the trained blood glucose concentration forecasting model, one or more expected blood glucose concentrations for the user are generated. |
Inventor: |
Goldner, Daniel R. (Minnetonka, MN, US); Dachis, Jeff (Brooklyn, NY, US) |
Applicant: |
One Drop (New York, NY, US) |
Face Assignee: |
N/A |
Filed: |
2019-09-03 |
Issued: |
2020-03-12 |
Claims: |
30 |
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US20200077931
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1. A computer-implemented method, comprising:
(6)
(3)
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11. A system comprising:
(6)
(2)
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21. A computer program product comprising a non-transitory machine-readable medium storing instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:
(6)
(3)
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