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fix: Minor text edits
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signekb authored Mar 15, 2024
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The goal of *osdc* is to expose an algorithm for classifying diabetes
within the Danish registers that can be accessible as an R package. The
algorithm has been developed at Steno Diabetes Center Aarhus that is
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, rather than code-based descriptions (e.g. the [Register of Selected
Chronic
Diseases](https://www.esundhed.dk/-/media/Files/Publikationer/Emner/Operationer-og-diagnoser/Udvalgte-kroniske-sygdomme-svaere-psykiske-lidelser/Algoritmer-for-Udvalgte-Kroniske-Sygdomme-og-svre-psykiske-lidelser-RUKS-2022.ashx).

In this project, we aim to make it easier and more explicit in
classifying type 1 and type 2 diabetes within a Danish register context.
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 we expect to make tweaks to the algorithm over time. Any changes
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