Towards the Automated Identification of Orphan Diseases From Case Descriptions

Christian Rohrdantz, Andreas Stoffel, Franz Wanner, Martin Drees
Orphan diseases are very rare diseases that are not well-known to many medical doctors. Patients suffering from them often remain without the correct diagnosis. Yet, there is a potential that advice-seeking doctors, posting medical case descriptions in web forums, may be automatically given a hint to matching orphan diseases. In this work-in-progress paper, we investigate opportunities and issues for an automated identification of orphan diseases in medical case descriptions through text mining
more » ... through text mining and data analytics.