add_diagnoses

This function takes a dataset and returns a diagnosis for each
observation. For the function to run, the dataset must not contain any errors
that <code>banff_launcher()</code> would have detected. Please prefer using
<code>banff_launcher()</code> to run additional tests.

Assigns standardized diagnoses using the Banff Classification
(Category 1 to 6 diagnoses, including Acute and Chronic active T-cell
mediated rejection as well as Active, Chronic active, and Chronic antibody
mediated rejection). The main function considers a minimal dataset
containing biopsies information in a specific format (described by a data
dictionary), verifies its content and format (based on the data dictionary),
assigns diagnoses, and creates a summary report. The package is developed on
the reference guide to the Banff classification of renal allograft pathology
Roufosse C, Simmonds N, Clahsen-van Groningen M, et al. A (2018) <doi:10.1097/TP.0000000000002366>.
The full description of the Banff classification is available at <https://banfffoundation.org/>.

Guillaume Fabre

banffIT

Automated Standardized Assignment of the Banff Classification

Ruth Sapir-Pichhadze

Jan Ulrich Becker

Samuel El Bouzaïdi Tiali

Jérôme Laforme

Tina Wey

Edden Gitelman

add_diagnoses function

<dl><dt>banff_dataset</dt>
<dd>A tibble object.</dd>
<dt>version</dt>
<dd>A character string referring the version of Banff classification.
The most recent classification is the default.
Options are "2022" (default), "2017".</dd></dl>

Arguments

Add diagnoses to the input dataset — add_diagnoses

<dl>

<dt>banff_dataset</dt>
<dd>A tibble object.</dd>


<dt>version</dt>
<dd>A character string referring the version of Banff classification.
The most recent classification is the default.
Options are "2022" (default), "2017".</dd>

</dl>

add_diagnoses: Add diagnoses to the input dataset

Description

Usage

Value

Arguments

Examples