Description Usage Arguments Value Author(s) References Examples
GPI is the average of all penalties assigned to each patient accordinng to his blood glucose value at each time point based on the optimized smooth penalty function.
1 |
object |
an object of class |
... |
not used here. |
a data frame contains:
ID |
unique ID. |
GPI |
GPI values. |
HYPO_perc |
Percentage of hypoglycemia. |
HYPER_perc |
Percentage of hyperglycemia. |
Dongsheng Yang, Anne S. Tang
Tom Van Herpe, et al. Glycemic penalty index for adequately assessing and comparing different blood glucose control algorithms. Crit Care 2008; (12)2:133.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |
id = c(17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 21, 21, 21, 21, 21, 21, 21,
30, 30, 30, 30, 30, 30, 30)
y = c(110, 137, 142, 129, 102, 113, 195, 168, 192, 156, 178, 186, 116, 105,
111, 86, 113, 115, 106, 113, 115, 106, 97, 103)
time = c("05JUL07:15:10:00", "05JUL07:16:15:00", "05JUL07:17:15:00",
"05JUL07:18:15:00", "05JUL07:19:15:00", "05JUL07:20:00:00", "05JUL07:21:10:00",
"05JUL07:21:40:00", "05JUL07:22:10:00", "05JUL07:22:40:00", "10MAY07:08:15:00",
"10MAY07:09:15:00", "10MAY07:10:15:00", "10MAY07:10:30:00", "10MAY07:11:00:00",
"10MAY07:11:30:00", "10MAY07:12:20:00", "12JUL07:08:15:00", "12JUL07:08:20:00",
"12JUL07:09:15:00", "12JUL07:09:20:00", "12JUL07:10:15:00", "12JUL07:10:20:00",
"12JUL07:11:10:00")
mylist = SVILD(id = id, time = time, y = y, timeFormat = "%d%b%y:%H:%M:%S")
gpi(mylist)
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