lab2clean: Automation and Standardization of Cleaning Clinical Lab Data

Navigating the shift of clinical laboratory data from primary everyday clinical use to secondary research purposes presents a significant challenge. Given the substantial time and expertise required for lab data pre-processing and cleaning and the lack of all-in-one tools tailored for this need, we developed our algorithm 'lab2clean' as an open-source R-package. 'lab2clean' package is set to automate and standardize the intricate process of cleaning clinical laboratory results. With a keen focus on improving the data quality of laboratory result values, our goal is to equip researchers with a straightforward, plug-and-play tool, making it smoother for them to unlock the true potential of clinical laboratory data in clinical research and clinical machine learning (ML) model development. Version 1.0 of the algorithm is described in detail in 'Zayed et al. (2024)' <doi:10.1186/s12911-024-02652-7>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	data.table, stats, utils
Suggests:	knitr, rmarkdown, printr
Published:	2024-09-09
DOI:	10.32614/CRAN.package.lab2clean
Author:	Ahmed Zayed [aut, cre], Arne Janssens [aut, ctb], Pavlos Mamouris [ctb]
Maintainer:	Ahmed Zayed <ahmed.zayed at kuleuven.be>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	lab2clean results

Documentation:

Reference manual:	lab2clean.pdf
Vignettes:	Automatically Cleaning Laboratory Results in R using the 'lab2clean' package (source, R code)

Downloads:

Package source:	lab2clean_1.0.0.tar.gz
Windows binaries:	r-devel: lab2clean_1.0.0.zip, r-release: lab2clean_1.0.0.zip, r-oldrel: lab2clean_1.0.0.zip
macOS binaries:	r-release (arm64): lab2clean_1.0.0.tgz, r-oldrel (arm64): lab2clean_1.0.0.tgz, r-release (x86_64): lab2clean_1.0.0.tgz, r-oldrel (x86_64): lab2clean_1.0.0.tgz

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