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Classify data

Functions used for classifying data

categorize()
Categorize cases based on external data and classification scheme
classify()
Classify codified data
codify() print(<codified>)
Codify case data with external code data (within specified time frames)
index()
Calculate index based on classification scheme

Classification schemes

Default classification schemes for comorbidity and adverse events

knee_ae hip_ae
Classcodes for adverse events after knee and hip arthroplasty
charlson
Classcodes for Charlson comorbidity based on ICD-codes
cps
Classcodes for the comorbidity-polypharmacy score (CPS) based on ICD-10 codes
elixhauser
Classcodes for Elixhauser based on ICD-codes
hip_ae_hailer
Classcodes for infection and dislocation after hip arthroplasty
rxriskv
Classcodes for RxRisk V based on ATC codes

Example data

ex_atc
Example data for random ATC codes
ex_icd10
Example data for random codes assigned to random people
ex_people
Example data for random people

Functions and methods for classcodes

Functions used for classifying data

all_classcodes()
Summary data for all default classcodes object in the package
as.data.frame(<classified>) as.data.table(<classified>) as.matrix(<classified>)
Convert output from classify() to matrix/data.frame/data.table
as.classcodes() is.classcodes()
Classcodes methods
codebook() print(<codebook>) codebooks()
codebook(s) for classcodes object
print(<classcodes>)
Print classcodes object
print(<classified>)
Printing classified data
set_classcodes()
Set classcodes object
summary(<classcodes>) print(<summary.classcodes>)
Summarizing a classcodes object
visualize(<classcodes>)
Visualize classification scheme in web browser

Additional help functions

as.keyvalue(<classcodes>)
Make keyvalue object from classcodes object