https://github.com/steno-aarhus/osdc
Open-Source Diabetes Classifier: an R package to classify diabetes status in Danish registers
https://github.com/steno-aarhus/osdc
diabetes-classification open-source r-package software website
Last synced: 4 months ago
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Open-Source Diabetes Classifier: an R package to classify diabetes status in Danish registers
- Host: GitHub
- URL: https://github.com/steno-aarhus/osdc
- Owner: steno-aarhus
- License: other
- Created: 2022-11-20T21:56:41.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2026-02-27T15:03:43.000Z (4 months ago)
- Last Synced: 2026-02-27T19:39:28.437Z (4 months ago)
- Topics: diabetes-classification, open-source, r-package, software, website
- Language: R
- Homepage: https://steno-aarhus.github.io/osdc/
- Size: 12.3 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 34
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
README
# osdc 
[](https://github.com/steno-aarhus/osdc/actions/workflows/build.yaml)
[](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[](https://CRAN.R-project.org/package=osdc)
[](https://github.com/steno-aarhus/osdc/releases/latest)
## Overview
The goal of osdc (Open Source Diabetes Classifier) is to expose an
algorithm for classifying diabetes within the Danish registers that can
be accessible as an R package. The algorithm that has been developed at
Steno Diabetes Center Aarhus is flexible and convenient to use, and
validated in terms of accuracy. While there are a few algorithms used
throughout Denmark for Danish register research, they are usually
textual descriptions of how to do it (e.g. the [Register of Selected
Chronic
Diseases](https://sundhedsdatabank.dk/sygdomme/kroniske-sygdomme-og-svaere-psykiske-lidelser)),
rather than source code-based descriptions.
In this project, we aim to make it easier and more explicit to classify
type 1 and type 2 diabetes within a Danish register context. The
original implementation of the algorithm is validated in a peer-reviewed
publication [here](https://doi.org/10.2147/clep.s407019), but minor
changes have been made to the algorithm since then, and we expect to
make additional tweaks to the algorithm over time. Any changes will be
transparent in the *osdc* repository.
## Installation
You can install osdc from CRAN with:
``` r
install.packages("osdc")
```
Or the development version from GitHub with:
``` r
pak::pak("steno-aarhus/osdc")
```
To install all dependencies **for development only**, like simulating
more data or running the full test suite, use:
``` r
pak::pak("steno-aarhus/osdc", dependencies = "all")
```
**Note**: We use an automated release system with
[Commitizen](https://commitizen-tools.github.io/commitizen/) and GitHub
Actions. This means that the latest version listed on GitHub will be
different from the latest version listed on CRAN. When we eventually
upload the latest version on GitHub to CRAN, then they will be
synchronized again, but this happens less frequently compared to changes
to the GitHub repository.
## Development
While developing the package, we use [`justfile`](https://just.systems/)
to simplify our development workflow and make it explicit. The
`justfile` contains commands that runs formatters, various checks like
CRAN checks or spelling checks, tests, and builds the files for the
website (but doesn't publish it). We use it to ensure that we have a
consistent development workflow and that we do not forget to run any of
the important checks before committing our changes. For example, before
we make any pull request to contribute changes, we run the following
command *in the Terminal* of the project directory:
``` bash
just run-all
```
## Code of Conduct
Please note that the osdc project is released with a [Contributor Code
of
Conduct](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html).
By contributing to this project, you agree to abide by its terms.
## Citing the package
If you use this package, please cite it! Use `citation()` to generate a
citation.
``` r
citation("osdc")
```