sbcdata

Laboratory Diagnostics from Septic and Non-septic Patients Used in the AMPEL Project

https://github.com/ampel-leipzig/sbcdata

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 8 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.0%) to scientific vocabulary

Keywords

data laboratory r-package r-stats sepsis
Last synced: 4 months ago · JSON representation

Repository

Laboratory Diagnostics from Septic and Non-septic Patients Used in the AMPEL Project

Basic Info
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
  • Releases: 2
Topics
data laboratory r-package r-stats sepsis
Created about 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog License Citation Codemeta

README.md

sbcdata

Project Status: Active  The project has reached a stable, usable state and is being actively developed. license R-CMD-check Codecov test coverage DOI <!-- badges: end -->

Installation

You can install the released version of sbcdata from directly from github:

```r

install.packages("remotes")

remotes::install_github("ampel-leipzig/sbcdata") ```

About the data

The data were collected as part of the AMPEL project (Analysis and Reporting System for the Improvement of Patient Safety through Real-Time Integration of Laboratory Findings). They include administration data, sepsis labels based on ICD10 codes and laboratory diagnostics from patients admitted to the University Hospital Leipzig between Januar 2014 and December 2021 and to the University Hospital Greifswald between Januar 2015 and December 2020, respectively. Additionally it provides functions to generate a similar dataset from MIMIC-IV Johnson et al. 2021.

License

The datasets are available under the CC-BY license.

Citation

To cite the sbcdata package, please use:

Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission. D. Steinbach, P. C. Ahrens, M. Schmidt, M. Federbusch, L. Heuft, Ch. Lbbert, M. Nauck, M. Grndling, B. Isermann, S. Gibb, Th. Kaiser 2024. Clinical Chemistry. DOI: 10.1093/clinchem/hvae001.

Owner

  • Name: AMPEL
  • Login: ampel-leipzig
  • Kind: organization
  • Location: Leipzig

CodeMeta (codemeta.json)

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GitHub Events

Total
  • Watch event: 3
  • Fork event: 1
Last Year
  • Watch event: 3
  • Fork event: 1

Dependencies

.github/workflows/R-CMD-check.yaml actions
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.github/workflows/pkgdown.yaml actions
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  • r-lib/actions/setup-pandoc v2 composite
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.github/workflows/test-coverage.yaml actions
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DESCRIPTION cran
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  • data.table * depends
  • DiagrammeR * suggests
  • gtsummary * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
  • viridisLite * suggests