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. 2020 Mar 4;2019:874–882.

Table 1:

User classes for the false-negative predictions of late-night hypoglycemia. A user may belong to more than one class. The prevalence values are estimated from approximately 1000 users.

False-Negative Classes Description Prevalence
Class #1 SG measurement above 180 mg/dL at midnight, sliding below 70 mg/dL between 3 am and 6 am 45%
Class #2 SG trajectory largely outside of 1- band from recent nights 56%
Class #3 SG trajectory exhibited U or W shaped bounce in the middle of night 33%
Class #4 SG trajectory not fitting above categories 15%