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. 2022 Jul 31;12(8):1262. doi: 10.3390/jpm12081262

Table 1.

CGM-derived metrics used for the engineering of ML models.

Parameter Formula
CV CV=SDG¯×100% , where G¯=i=1nGin  and SD=i=1n(GiG¯)n1
LI LI=i=1n1(GiGi+1)2/5
LBGI LBGI=1ni=1nrl(Gi), where
rl(Gi)=r(Gi)iff(Gi)<0and0otherwise,
rh(Gi)=r(Gi)iff(Gi)>0and0otherwise,r(Gi)=10×f2(Gi),
f(Gi)=1.509×[(log(18×Gi))1.0845.381]
CONGA-1 CONGA(1)=i=2n(DiD¯)n1  where D¯=i=2nDin1 , Di=GiGi1
Minimum value Gmin=min(G1,,Gn)
DLV Gn1Gn
ALV (GnGn1)(Gn1Gn2)
LC coefficient b1  in a linear trend model Gi=b0+b1ti+εi

Abbreviations: ALV, acceleration over the last values; CONGA-1, 1-h continuous overlapping net glycemic action; CV, coefficient of variation; DLV, difference between the last two values; LBGI, low blood glucose index; LC, linear trend coefficient; LI, lability index.