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Analysis of institutional authors

Móstoles R.AuthorMóstoles, RobertoAuthorAraque, OscarAuthorIglesias, Carlos ACorresponding Author

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August 18, 2024
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Article

Using Enhanced Representations to Predict Medical Procedures from Clinician Notes

Publicated to: Applied Sciences-Basel. 14 (15): 6431- - 2024-08-01 14(15), DOI: 10.3390/app14156431

Authors:

Mostoles, R; Araque, O; Iglesias, CA
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Affiliations

Univ Politecn Madrid, Intelligent Syst Grp, ETSI Telecomunicac, Avda Complutense 30, Madrid 28040, Spain - Author

Abstract

Nowadays, most health professionals use electronic health records to keep track of patients. To properly use and share these data, the community has relied on medical classification standards to represent patient information. However, the coding process is tedious and time-consuming, often limiting its application. This paper proposes a novel feature representation method that considers the distinction between diagnoses and procedure codes, and applies this to the task of medical procedure code prediction. Diagnosis codes are combined with text annotations, and the result is then used as input to a downstream procedure code prediction task. Various diagnosis code representations are considered by exploiting a code hierarchy. Furthermore, different text representation strategies are also used, including embeddings from language models. Finally, the method was evaluated using the MIMIC-III database. Our experiments showed improved performance in procedure code prediction when exploiting the diagnosis codes, outperforming state-of-the-art models.
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Keywords

BertCareClassificationCodeDeep learningDiagnosisEhrEmbeddingEmbeddingsEmpirical-evaluationHealthcareIcd predictionNlp

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Applied Sciences-Basel 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, 2024 there are still no calculated indicators, but in 2023, it was in position 50/179, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering, Multidisciplinary. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Engineering (Miscellaneous).

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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 2026-04-25:

  • 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: 10 (PlumX).

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

    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.
    • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/89492/

    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: 118
    • Downloads: 77
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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 (MOSTOLES RODRIGUEZ, ROBERTO) and Last Author (IGLESIAS FERNANDEZ, CARLOS ANGEL).

    the author responsible for correspondence tasks has been IGLESIAS FERNANDEZ, CARLOS ANGEL.

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    Awards linked to the item

    This research was partially funded by the Spanish Ministry of Science and Innovation through the MIRATAR project (TED2021-132149B-C42) and by the European Union with NextGeneration EU funds.
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