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lab2clean  

Automation and Standardization of Cleaning Clinical Lab Data
View on CRAN: Click here


Download and install lab2clean package within the R console
Install from CRAN:
install.packages("lab2clean")

Install from Github:
library("remotes")
install_github("cran/lab2clean")

Install by package version:
library("remotes")
install_version("lab2clean", "1.0.0")



Attach the package and use:
library("lab2clean")
Maintained by
Ahmed Zayed
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-09
Latest Update: 2024-09-09
Description:
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>.
How to cite:
Ahmed Zayed (2024). lab2clean: Automation and Standardization of Cleaning Clinical Lab Data. R package version 1.0.0, https://cran.r-project.org/web/packages/lab2clean. Accessed 18 Feb. 2025.
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