Description Usage Format See Also Examples
Provides lookup tables for use with Ambulatory care sensitive analyses. Primary condition: primary diagnosis codes.
1 |
data frame with 277 rows and 2 fields
1 2 3 4 | Observations: 277
Variables: 2
$ condition_uid <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,...
$ icd10 <chr> "I480", "I481", "I482", "I483", "I484", "I485", "I486", "I487", "I488", "I489", "I48X", "I48", "I200", "...
|
Other ambulatory care sensitive datasets: ac_attribution
,
ac_conditions
, ac_versions
,
acs_datasets
1 2 3 4 5 6 7 8 9 10 11 12 | if (all(sapply(c("dplyr", "reshape2"), isNamespaceLoaded))) {
require("dplyr", warn.conflicts = FALSE)
require("reshape2", warn.conflicts = FALSE)
aafractions.ncc::lu_acc_icd10 %>%
merge(aafractions.ncc::ac_versions, by = "condition_uid", allow.cartesian = TRUE) %>%
dcast(... ~ version, value.var = "condition_uid", fun = paste, collapse = "|") %>%
arrange(icd10) %>%
head(16)
}
str(aafractions.ncc::lu_acc_icd10)
|
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