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2023 | OriginalPaper | Buchkapitel

Using Natural Language Processing for Context Identification in COVID-19 Literature

verfasst von : Frederico Carvalho, Diego Mariano, Marcos Bomfim, Giovana Fiorini, Luana Bastos, Ana Paula Abreu, Vivian Paixão, Lucas Santos, Juliana Silva, Angie Puelles, Alessandra Silva, Raquel Cardoso de Melo-Minardi

Erschienen in: Advances in Bioinformatics and Computational Biology

Verlag: Springer Nature Switzerland

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Abstract

The COVID-19 pandemic led to an unprecedented volume of articles published in scientific journals with possible strategies and technologies to contain the disease. Academic papers summarize the main findings of scientific research, which are vital for decision-making, especially regarding health data. However, due to the technical language used in this type of manuscript, its understanding becomes complex for professionals who do not have a greater affinity with scientific research. Thus, building strategies that improve communication between health professionals and academics is essential. In this paper, we show a semi-automated approach to analyze the scientific literature through natural language processing using as a basis the results collected by the “Scientific Evidence Panel on Pharmacological Treatment and Vaccines – COVID-19” proposed by the Brazilian Ministry of Health. After manual curation, we obtained an accuracy of 0.64, precision of 0.74, recall of 0.70, and F1 score of 0.72 for the analysis of the using-context of technologies, such as treatments or medicines (i.e., we evaluated if the keyword was used in a positive or negative context). Our results demonstrate how machine learning and natural language processing techniques can greatly help understand data from the literature, taking into account the context. Additionally, we present a proposal for a scientific panel called SimplificaSUS, which includes evidence taken from scientific articles evaluated through machine learning and natural language processing methods.

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Titel: Using Natural Language Processing for Context Identification in COVID-19 Literature
verfasst von: Frederico Carvalho
Diego Mariano
Marcos Bomfim
Giovana Fiorini
Luana Bastos
Ana Paula Abreu
Vivian Paixão
Lucas Santos
Juliana Silva
Angie Puelles
Alessandra Silva
Raquel Cardoso de Melo-Minardi
Verlag: Springer Nature Switzerland
Buch: Advances in Bioinformatics and Computational Biology
Print ISBN: 978-3-031-42714-5

Electronic ISBN: 978-3-031-42715-2

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-42715-2_7

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