osdc: Open Source Diabetes Classifier for Danish Registers

The algorithm first identifies a population of individuals from Danish register data with any type of diabetes as individuals with two or more inclusion events. Then, it splits this population into individuals with either type 1 diabetes or type 2 diabetes by identifying individuals with type 1 diabetes and classifying the remainder of the diabetes population as having type 2 diabetes.

See also

Useful links:

• https://github.com/steno-aarhus/osdc

• https://steno-aarhus.github.io/osdc/

• Report bugs at https://github.com/steno-aarhus/osdc/issues

Author

Maintainer: Luke William Johnston lwjohnst@gmail.com (ORCID)

Authors:

• Signe Kirk Brødbæk signekb@clin.au.dk (ORCID)

• Anders Aasted Isaksen andaas@rm.dk (ORCID)

Other contributors:

• Steno Diabetes Center Aarhus [copyright holder]

• Aarhus University [copyright holder]