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Analysis of institutional authors

Menasalvas E.Corresponding AuthorRodríguez-González AAuthorCostumero RAuthorGonzalo CAuthor

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July 25, 2020
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Proceedings Paper
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Clinical narrative analytics challenges

Publicated to: Syntactic ASP Forgetting with Forks. 9920 LNAI 23-32 - 2016-01-01 9920 LNAI(), DOI: 10.1007/978-3-319-47160-0_2

Authors:

Menasalvas, E; Rodriguez-Gonzalez, A; Costumero, R; Ambit, H; Gonzalo, C
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Affiliations

Univ Politecn Madrid, Ctr Tecnol Biomed - Author
Universidad Politécnica de Madrid - Author

Abstract

© Springer International Publishing AG 2016. Precision medicine or evidence based medicine is based on the extraction of knowledge from medical records to provide individuals with the appropriate treatment in the appropriate moment according to the patient features. Despite the efforts of using clinical narratives for clinical decision support, many challenges have to be faced still today such as multilinguarity, diversity of terms and formats in different services, acronyms, negation, to name but a few. The same problems exist when one wants to analyze narratives in literature whose analysis would provide physicians and researchers with highlights. In this talk we will analyze challenges, solutions and open problems and will analyze several frameworks and tools that are able to perform NLP over free text to extract medical entities by means of Named Entity Recognition process. We will also analyze a framework we have developed to extract and validate medical terms. In particular we present two uses cases: (i) medical entities extraction of a set of infectious diseases description texts provided by MedlinePlus and (ii) scales of stroke identification in clinical narratives written in Spanish.
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Keywords

Clinical narrativesElectronic health recordsExtractionInformationIssuesKnowledgeLanguage processing systemNatural language processingNatural-languageSearch engineText analysis

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

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 2026-04-07:

  • Google Scholar: 21
  • WoS: 10
  • Scopus: 15
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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 2026-04-07:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 20.
  • 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: 20 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 5.

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:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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Leadership analysis of institutional authors

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 (MENASALVAS RUIZ, ERNESTINA) and Last Author (GONZALO MARTIN, CONSUELO).

the author responsible for correspondence tasks has been MENASALVAS RUIZ, ERNESTINA.

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