Literature DB >> 24825684

Towards the automated generation of expert profiles for rare diseases through bibliometric analysis.

Andreas Pflugrad1, Karin Jurkat-Rott1, Frank Lehmann-Horn1, Jochen Bernauer2.   

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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Year:  2014        PMID: 24825684

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Searching for rare diseases in PubMed: a blind comparison of Orphanet expert query and query based on terminological knowledge.

Authors:  N Griffon; M Schuers; F Dhombres; T Merabti; G Kerdelhué; L Rollin; S J Darmoni
Journal:  BMC Med Inform Decis Mak       Date:  2016-08-02       Impact factor: 2.796

  1 in total

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