clean_text

Make clean text with only lowercase alphanumeric characters and "_"

internal

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
categorize relevant codes from (2).
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.

Erik Bulow

coder

Deterministic Categorization of Items Based on External Code
Data

Emely C Zabore

David Robinson

clean_text function

<dl><dt>x_name</dt>
<dd>Name of object to use as prefix</dd>
<dt>x</dt>
<dd>character vector</dd></dl>

Arguments

Make clean text with only lowercase alphanumeric characters and "_" — clean_text

<dl>

<dt>x_name</dt>
<dd>Name of object to use as prefix</dd>


<dt>x</dt>
<dd>character vector</dd>

</dl>

clean_text: Make clean text with only lowercase alphanumeric characters and "_"

Description

Usage

Value

Arguments