FIELD: computer engineering.
SUBSTANCE: present invention relates to systems for using prognostic training in analyzing and treating progression of diabetic diseases. Disclosed is a user device which receives test period data within the test period. User device determines that part of the data has been missed based on analysis of the obtained data of the testing period. Analysis of the obtained data includes analysis of one or more blood glucose levels and analysis of dietary data, drug treatment data and activity data. User device calculates the missing part of the data using the substitute data determined using predictive training. User device calculates a confidence level associated with the replacement data. User device identifies, using the substitute data, the progression or regression of the diabetic condition associated with the user.
EFFECT: invention provides analysis and treatment of diabetic diseases progression.
11 cl, 13 dwg
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Authors
Dates
2024-08-06—Published
2021-12-02—Filed