  Many people share information in social media or forums, like food they eat,
sports activities they do or events which have been visited. This also applies
to information about a person's health status. Information we share online
unveils directly or indirectly information about our lifestyle and health
situation and thus provides a valuable data resource. If we can make advantage
of that data, applications can be created that enable e.g. the detection of
possible risk factors of diseases or adverse drug reactions of medications.
However, as most people are not medical experts, language used might be more
descriptive rather than the precise medical expression as medics do. To detect
and use those relevant information, laymen language has to be translated and/or
linked to the corresponding medical concept. This work presents baseline data
sources in order to address this challenge for German. We introduce a new data
set which annotates medical laymen and technical expressions in a patient
forum, along with a set of medical synonyms and definitions, and present first
baseline results on the data.
