Package: lab2clean 1.0.0

Ahmed Zayed

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>.

Authors:Ahmed Zayed [aut, cre], Arne Janssens [aut, ctb], Pavlos Mamouris [ctb]

lab2clean_1.0.0.tar.gz
lab2clean_1.0.0.tar.gz(r-4.5-noble)lab2clean_1.0.0.tar.gz(r-4.4-noble)
lab2clean_1.0.0.tgz(r-4.4-emscripten)lab2clean_1.0.0.tgz(r-4.3-emscripten)
lab2clean.pdf |lab2clean.html
lab2clean/json (API)

# Install 'lab2clean' in R:
install.packages('lab2clean', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 208 downloads 2 exports 1 dependencies

Last updated 3 months agofrom:10d90225d6. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-linuxOKDec 09 2024

Exports:clean_lab_resultvalidate_lab_result

Dependencies:data.table

Automatically Cleaning Laboratory Results in R using the 'lab2clean' package

Rendered fromlab2clean.Rmdusingknitr::rmarkdownon Dec 09 2024.

Last update: 2024-09-10
Started: 2024-09-10