Title: Deterministic Categorization of Items Based on External Code
person("Erik", "Bulow", email = "eriklgb@gmail.com",
person("Emely C", "Zabore", role = "rev",
comment = "Emily reviewed the package (v. 0.12.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/381>"),
person("David", "Robinson", role = "rev",
comment = "David reviewed the package (v. 0.12.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/381>")
Fast categorization of items based on external code data identified by
regular expressions. A typical use case considers patient with medically coded
data, such as codes from the International Classification of Diseases ('ICD') or
the Anatomic Therapeutic Chemical ('ATC') classification system.
Functions of the package relies on a triad of objects: (1) case data with unit
id:s and possible dates of interest; (2) external code data for corresponding
units in (1) and with optional dates of interest and; (3) a classification
scheme ('classcodes' object) with regular expressions to identify and
It is easy to introduce new classification schemes ('classcodes' objects) or
to use default schemes included in the package. Use cases includes patient
categorization based on 'comorbidity indices' such as 'Charlson', 'Elixhauser',
'RxRisk V', or the 'comorbidity-polypharmacy' score (CPS), as well as adverse
events after hip and knee replacement surgery.
Suggests: covr, testthat, knitr, rmarkdown, writexl
Imports: data.table, decoder, generics, methods, tibble
Packaged: 2021-01-14 10:07:41 UTC; erikbulow
Author: Erik Bulow [aut, cre] (<https://orcid.org/0000-0002-9973-456X>),
Emely C Zabore [rev] (Emily reviewed the package (v. 0.12.1) for
David Robinson [rev] (David reviewed the package (v. 0.12.1) for

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