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Analysis of institutional authors

Paraiso-Medina, SergioCorresponding AuthorPerez-Rey, DavidAuthorAlonso-Calvo, RaulAuthor

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June 9, 2019
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Semantic Normalization and Query Abstraction Based on SNOMED-CT and HL7: Supporting Multicentric Clinical Trials

Publicated to: IEEE Journal of Biomedical and Health Informatics. 19 (3): 1061-1067 - 2015-05-01 19(3), DOI: 10.1109/JBHI.2014.2357025

Authors:

Paraiso-Medina, S; Perez-Rey, D; Bucur, A; Claerhout, B; Alonso-Calvo, R
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Affiliations

Custodix, B-9830 Sint Martens Latem, Belgium - Author
Philips Res Europe, NL-5656 AE Eindhoven, Netherlands - Author
Univ Politecn Madrid, DIA, Biomed Informat Grp, E-28040 Madrid, Spain - Author
Univ Politecn Madrid, DLSIIS, E-28040 Madrid, Spain - Author
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Abstract

Advances in the use of omic data and other biomarkers are increasing the number of variables in clinical research. Additional data have stratified the population of patients and require that current studies be performed among multiple institutions. Semantic interoperability and standardized data representation are a crucial task in the management of modern clinical trials. In the past few years, different efforts have focused on integrating biomedical information. Due to the complexity of this domain and the specific requirements of clinical research, the majority of data integration tasks are still performed manually. This paper presents a semantic normalization process and a query abstraction mechanism to facilitate data integration and retrieval. A process based on well-established standards from the biomedical domain and the latest semantic web technologies has been developed. Methods proposed in this paper have been tested within the EURECA EU research project, where clinical scenarios require the extraction of semantic knowledge from biomedical vocabularies. The aim of this paper is to provide a novel method to abstract from the data model and query syntax. The proposed approach has been compared with other initiatives in the field by storing the same dataset with each of those solutions. Results show an extended functionality and query capabilities at the cost of slightly worse performance in query execution. Implementations in real settings have shown that following this approach, usable interfaces can be developed to exploit clinical trial data outcomes.
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Keywords

CancerClinical trialsData integrationData modelsDesignEnterpriseHl7 and snomedInformationInteroperabilityMedical diagnostic imagingOmicsResourcesSemantic interoperabilitySemanticsStandardStandardsVocabulary

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE Journal of Biomedical and Health Informatics due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2015, it was in position 8/20, thus managing to position itself as a Q1 (Primer Cuartil), in the category Medical Informatics.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-24:

  • WoS: 9
  • Scopus: 13
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 63 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/87585/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 147
  • Downloads: 1
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Belgium; Netherlands.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (PARAISO MEDINA, SERGIO) and Last Author (ALONSO CALVO, RAUL).

the author responsible for correspondence tasks has been PARAISO MEDINA, SERGIO.

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