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Towards the Automated Identification of Orphan Diseases from Case Descriptions

Authors:
Christian Rohrdantz
Andreas Stoffel
Franz Wanner
Martin Drees

Keywords: Data Analytics; Text Mining; Medical Data Analytics

Abstract:
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 and data analytics.

Pages: 121 to 125

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-423-7

Location: Nice, France

Dates: from July 19, 2015 to July 24, 2015