Format

Send to

Choose Destination
See comment in PubMed Commons below
Healthc Inform Res. 2013 Dec;19(4):243-9. doi: 10.4258/hir.2013.19.4.243. Epub 2013 Dec 31.

Developing a biomedical expert finding system using medical subject headings.

Author information

1
Bioinformatics Centre, Indian Council of Medical Research, Ansari Nagar, New Delhi, India.

Abstract

OBJECTIVES:

Efficient identification of subject experts or expert communities is vital for the growth of any organization. Most of the available expert finding systems are based on self-nomination, which can be biased, and are unable to rank experts. Thus, the objective of this work was to develop a robust and unbiased expert finding system which can quantitatively measure expertise.

METHODS:

Medical Subject Headings (MeSH) is a controlled vocabulary developed by the National Library of Medicine (NLM) for indexing research publications, articles and books. Using the MeSH terms associated with peer-reviewed articles published from India and indexed in PubMed, we developed a Web-based program which can be used to identify subject experts and subjects associated with an expert.

RESULTS:

We have extensively tested our system to identify experts from India in various subjects. The system provides a ranked list of experts where known experts rank at the top of the list. The system is general; since it uses information available with the PubMed, it can be implemented for any country.

CONCLUSIONS:

The expert finding system is able to successfully identify subject experts in India. Our system is unique because it allows the quantification of subject expertise, thus enabling the ranking of experts. Our system is based on peer-reviewed information. Use of MeSH terms as subjects has standardized the subject terminology. The system matches requirements of an ideal expert finding system.

KEYWORDS:

Data Mining; Expert Systems; Medical Subject Headings; Online Systems; Professional Competence

PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Korean Society of Medical Informatics Icon for PubMed Central
    Loading ...
    Support Center