This white paper considers the use of machine learning algorithms in German health insurance claims cost analyses, focusing primarily on the private market. Since chronic diseases play a crucial role in the development of future claims cost, the report focuses on type 2 diabetes as an example. The paper explains how an analysis can be executed, which methods are applicable and how the results can be used for disease management. This analysis shows that machine learning algorithms are suitable to estimate the future development of specific chronic diseases.
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Claims cost analysis in German private health insurance
How machine learning algorithms can serve as good predictors of future claims cost for chronic diseases.
Alexander Krauskopf , Katrin Hoellering, Alexandra Pflumm