Developing a Biomedical Expert Finding System Using Medical Subject Headings / 대한의료정보학회지
Healthcare Informatics Research
;
: 243-249, 2013.
Artículo
en Inglés
| WPRIM
| ID: wpr-154108
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Competencia Profesional
/
Sistemas Especialistas
/
Sistemas en Línea
/
Sesgo
/
Vocabulario Controlado
/
Medical Subject Headings
/
Indización y Redacción de Resúmenes
/
Minería de Datos
/
India
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
País/Región como asunto:
Asia
Idioma:
Inglés
Revista:
Healthcare Informatics Research
Año:
2013
Tipo del documento:
Artículo
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