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Towards the Automated Generation of Expert Profiles for Rare Diseases through Bibliometric Analysis
Andreas Pflugrad, Karin Jurkat-Rott, Frank Lehmann-Horn, Jochen Bernauer
47 - 54
10.3233/978-1-61499-397-1-47
Studies in Health Technology and Informatics
Volume 198: eHealth2014 – Health Informatics Meets eHealth
Abstract

For patients suffering from rare diseases it is often hard to find an expert clinician. Existing registries rely on manual registration procedures and cannot easily be kept up to date. A prototype data collection system for discovering experts on rare diseases using MEDLINE has been successfully deployed. Initial manual analyses demonstrate proof of concept and deliver promising results. Examining the associations between authors, diseases and MeSH-Terms is expected to open up a variety of possibilities beyond expert discovery.

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