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 mellitus 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]