Automated Standardized Assignment of the Banff Classification

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) . The full description of the Banff classification is available at < https://banfffoundation.org/>.


banffIT

R-CMD-check

The banffIT package provides functions to assign 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 banff_launcher()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. It is possible to use different versions of the Banff classification.

Main functionality


DISCLAIMER

The banffIT package is distributed in the hope that it will be useful, but without any warranty. By using the banffIT package, you agree that its contents are used only for research purposes and not for making clinical decisions regarding patient care without consulting a pathologist. It is provided “as is” without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose.

In no event unless required by applicable law the author(s) will be liable to you for damages, including any general, special, incidental or consequential damages arising out of the use or inability to use the program (including but not limited to loss of data or data being rendered inaccurate or losses sustained by you or third parties or a failure of the program to operate with any other programs), even if the author(s) has been advised of the possibility of such damages.

Download section

Data Dictionary

also available in R using get_banff_dictionary()

Template

also available in R using get_banff_template()

Example

also available in R using get_banff_example()

Get started

Install the package and use the example file


# To install banffIT
install.packages('banffIT')

library(banffIT)
# If you need help with the package, please use:
banffIT_website()

# use example
version <- 2022
input_file <- system.file("extdata", paste0(version,"/banff_example.xlsx"), 
                          package = "banffIT")
banff_launcher(
  input_file = input_file,
  output_folder = tempdir(), # 'folder_path/example'
  version = version,
  language = 'label:en',
  option_filter = adequacy == 1,
  detail = TRUE)

Reference manual

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install.packages("banffIT")

2.0.0 by Guillaume Fabre, a year ago


https://github.com/PersonalizedTransplantCare/banffIT


Report a bug at https://github.com/PersonalizedTransplantCare/banffIT/issues


Browse source code at https://github.com/cran/banffIT


Authors: Guillaume Fabre [aut, cre] (ORCID: , Ruth Sapir-Pichhadze [fnd, cph, ctb] , Jan Ulrich Becker [ctb] , Samuel El Bouzaïdi Tiali [ctb] , Jérôme Laforme [ctb] , Tina Wey [ctb] , Edden Gitelman [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, rlang, tools, utils, crayon, stringr, fs, lubridate, tidyr, fabR, madshapR

Suggests knitr, rmarkdown, usethis


See at CRAN