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Developing a biomedical expert finding system using medical subject headings.

Harpreet Singh1, Reema Singh1, Arjun Malhotra1

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

Healthcare Informatics Research
|February 14, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces an unbiased expert finding system that quantifies expertise using Medical Subject Headings (MeSH) from PubMed. The system successfully ranks subject matter experts, addressing limitations of self-nomination methods.

Keywords:
Data MiningExpert SystemsMedical Subject HeadingsOnline SystemsProfessional Competence

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Area of Science:

  • Bibliometrics
  • Information Science
  • Computer Science

Background:

  • Organizational growth relies on identifying subject matter experts.
  • Existing expert finding systems often use biased self-nomination and lack ranking capabilities.
  • There is a need for robust, unbiased systems to quantitatively measure expertise.

Purpose of the Study:

  • To develop a quantitative, unbiased expert finding system.
  • To enable the ranking of subject matter experts.
  • To overcome the limitations of traditional expert identification methods.

Main Methods:

  • Utilized Medical Subject Headings (MeSH) from peer-reviewed articles indexed in PubMed.
  • Developed a web-based program to identify experts and their associated subjects.
  • Focused on articles published from India for initial testing.

Main Results:

  • The system successfully identified subject experts in India.
  • A ranked list of experts was generated, with known experts appearing at the top.
  • The system demonstrated generalizability, applicable to any country using PubMed data.

Conclusions:

  • The developed expert finding system effectively identifies and ranks subject experts.
  • Quantification of expertise and use of standardized MeSH terms are key innovations.
  • The system aligns with the requirements of an ideal expert finding solution based on peer-reviewed data.