Description Usage Arguments Details Examples
This is the function which prepares the input data for the categorization, and forms the core of the package, along with the C++ matrix code. This is pure data manipulation and generalizable beyond medical data.
1 2 3 4 5 6 7 8 9 10 11 12 | categorize_simple(
x,
map,
id_name,
code_name,
return_df = FALSE,
return_binary = FALSE,
restore_id_order = TRUE,
preserve_id_type = FALSE,
comorbid_fun = comorbid_mat_mul_wide,
...
)
|
x |
Data frame containing a column for an 'id' and a column for a code, e.g., an ICD-10 code. |
map |
named list containing vectors of ICD-9 codes. E.g. the AHRQ ICD-9
comorbidities, contains |
id_name |
The name of the |
code_name |
String with name(s) of column(s) containing the codes. |
return_df |
single logical value, if |
return_binary |
Logical value, if |
restore_id_order |
Logical value, if |
preserve_id_type |
Single logical value, if |
comorbid_fun |
function i.e. the function symbol (not character string) to be called to do the comorbidity calculation |
... |
arguments passed on to other functions |
The roadmap for icd includes the optimized categorization component being packaged independently, and the comorbidity package taking on the front-end for doing ICD-code-based comorbidities. This is in discussion.
1 2 3 4 | u <- uranium_pathology
m <- icd10_map_ahrq
u$icd10 <- decimal_to_short(u$icd10)
j <- icd:::categorize_simple(u, m, id_name = "case", code_name = "icd10")
|
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