Method, system, and computer program product for the processing of self-monitoring blood glucose (SMBG) data to enhance diabetic self-management
A data estimation and patient technology, applied in the direction of calculation, electrical digital data processing, special data processing applications, etc., can solve the problem that the index has no practical use, and achieve the effect of improving monitoring
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example 1
[0151]Another important goal of Example 1 was to use existing data to test a large number of hypotheses and ideas that could potentially lead to other algorithms that estimate HbA in a manner conceptually different from that provided by the present disclosure 1c and calculating the risk of hypoglycemia. The goal is to find potentially better solutions, or simply to prove that some ideas are not able to produce better results, which is mainly used to optimize and improve the analysis of the data currently collected in this research example No.2.
[0152] data set (data sets)
[0153] In order to ensure that our optimization results can be generalized to a wider level, Algorithms 1 and 2 are first optimized with a training data set, and then their accuracy is checked with an unrelated test data set. For Algorithm 3, we currently only have a set of data with parallel SMBG and SH records. The detailed description of the patient population survey (population) is as follows:
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